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Hey! Iโm Max, founder of adswipefile.com
Over the years, Iโve helped drive more than 200M views via viral TikTok campaigns and built a short-form content analytics tool called Trendly.so.
My secret?
Donโt reinvent the wheel, just find winning content and make it even better.
Today, Iโm applying that same principle to e-commerce brands.
AdSwipeFile offers a massive collection of over 22,543 winning ads, neatly categorized by niche, format, and brand. So you can spot what works, swipe the ideas, and level up your campaigns.
Hi,
Just added a button that opens ChatGPT-4 with a request containing the transits to the natal chart.
It's is a full, detailed, interactive horoscope for any date/time and any birth chart.
Based on a fantastic, constantly improving, AI model.
Hey Huzzlers, Vincent here ๐ (founder of Huzzler).
Working on Huzzler for the last 6 months (2400+ founders, 1400+ products), I've started seeing a pattern: incredible products with 0 customers. It's truly saddening. So much potential, but people don't even know these products exist.
Most founders try to post on Huzzler, Product Hunt, X, Reddit , try ads.. but no results.
So I started wondering, what exactly is the problem? not enough information? bad products? Badly configured ads? ... No influence?
None of that. What worked for me (to grow Huzzler) was creating a system that forced me to:
- Define ONE narrow ICP (stop selling to everyone)
- Update messaging to resonate with that ICP
- Follow a daily routine of tasks
- Build a permanent Knowledge Base
This is why I'm building the Customer Engine: it's a system specifically Built for B2B SaaS founders who need their first paying customers. It works for any kind of B2B SaaS. You can see all features on the website
Why $499 one-time instead of a subscription?
The goal was to create an asset (the Customer Engine) you buy once and profit from forever. No monthly fees eating away at your profits.
E.g. If Customer Engine helps you land just 2 customers at $45/month, it pays for itself in 3 months. After 12 months, that's a $5,000+ ROI.
And that's for only ONE product. You get unlimited projects with lifetime access, so you can use it for every SaaS you build. The ROI compounds. Plus you get all future updates.
(Affiliates coming soon)
I'm working as an SWE and I wanted to build my own software for a long time. Finally, with stuff like Cursor and Shadcn, I can do that without spending too much time on boring stuff.
Reddit and X were always interesting to me in terms of finding leads and customers, but doing all of that manually takes too much time.
That's why I'm building https://prospectiq.app to automate this.
All it takes is to create a project and add keywords you want to track. The software will work every day to find posts where you could interact with potential customers.
I'm looking to launch this soon, you can join the waitlist and I'll send you a discount code on launch.
Feedback is always welcome!
I'm Stan, the founder of VibeStack. I've been launching startups since 2016. Over time, I've built a massive collection of products and tools over the years, primarily saving them in a folder in my bookmark bar.
One day I decided I would build a tool for myself to be able to save and better organize all the products I find and use in my workflow. After building it I thought others may find it useful as well. So I expanded the product into a platform where people can explore products and save them for easy future reference.
I'm very happy with how the product has developed and looking forward to seeing others use it in the future.
VibeStack is a curated discovery platform for AI, design, and development products and tools for builders and creators. It helps professionals find and save high-quality tools organized by category to enhance their creative workflow.
Submit your product here: https://www.vibestack.io/
Hi everyone,
Excited to share a platform called "Ask Your Audience" designed to help creators, marketers, and product teams connect directly with their target audience for quick feedback.
What it is:ย "Ask Your Audience" is an AI-powered consumer insights platform. The core idea is to provide instant access to audience perspectives using "Human Digital Twins." Users can define their target audience (by age, location, etc.), and the platform provides AI representations reflecting that group. You can then ask questions, present ideas, or show creative concepts directly to these Digital Twins in a conversational interface.
Key features highlighted include:
- Virtual Focus Groups:ย Get collective reactions from a panel of Digital Twins.
- One-on-One Interviews:ย Have detailed conversations with a specific audience profile's Digital Twin.
- Creative Testing:ย Show visuals or concepts and get instant feedback on perception.ย
(Features like A/B Testing and Pricing Analysis are mentioned as coming soon).
The platform aims to deliver qualitative insights much faster (minutes vs. weeks) than traditional methods, while being cost-effective and reducing biases like groupthink. It's stated to have over 85% alignment with real consumer responses based on academic validation.
How it was built:ย The platform leverages proprietary "Human Digital Twins," which combine real human personas with AI. It's described as using academically validated AI technology to power its insights engine.
(Specific tech stack details aren't provided in the info, but the core is AI-driven persona simulation).
This project aims to solve the challenge of getting fast, authentic, and targeted audience feedback. Would love to hear any thoughts or constructive feedback from the community, especially from those involved in product development, UX/UI, or marketing!
Iโve always loved games where you start at the bottom of a strange world and slowly climb your way up โ learning the rules, bending them, and maybe rewriting them.
So I imagined a world like that.ย
A place with rival factions, shifting alliances, whispered deals, and sudden promotions.ย
Where completing a task isnโt just about getting it done โ itโs about who benefits.ย
Where influence is everything.
I built it from scratch, using GPT-4, Supabase, and Lovable.ย
But itโs not set in a medieval kingdom or a dystopian wasteland.
Itโs set in a modern-day corporate office.
Corporate Life Simulator is a multiplayer game where you join a department โ HR, Sales, IT, Marketing, Legal or Ops โ and try to survive the internal power games.ย
You complete tasks, build your rep, and (soon) craft items, trade with others, and fight for promotions like your life depends on it.
Iโve worked remotely for over a decade.ย
Turns out, I missed the absurdity of office life more than I thought.
Hereโs a teaser image I made. Would love feedback. Or at least a passive-aggressive memo.
๐ You can try the demo or sign up here: https://corporatelifesimulator.com
For one of my other projects, Reddit has been a great source of traffic and has resulted in hundreds of users. What I found to be pretty tedious was constantly scrolling through Reddit and/or searching Reddit to try and find posts that might be relevant to my product where I comment some value and subtly promote it. There were hundreds of posts, majority of which weren't relevant. So I thought, surely this could be automated, no? That's when I decided to build ReplyFinder.
How does it work?
It's quite straightforward. First, add your keywords that you think will be commonly mentioned in discussions regarding your product on Reddit. Then, provide some context to the AI about your product, what kind of posts you find relevant, and some guidelines for how it should generate responses. After that, you're all set! Our AI will monitor Reddit, analyzing posts it finds and determines if they are relevant to your product or not. If they are, it generates a suggested reply, which you can view on the dashboard. I've also got an auto commenting feature in beta, where you can link a Reddit account and approve replys to be posted in one click via the dashboard.
I've currently got a 7 day free trial setup, so if this sounds like something you could use to market your product give it a go! Also, if anyone has questions or feedback, I'd love to hear it. Thanks for checking out my post!
Hey! Two monts ago I launched Flippr, an AI tool for resellers that lets you upload a picture of games or movies and it will find the current going price and sell-through rate of those items! The data comes from sold eBay data. In the next month, we will be releasing Amazon data for FBA sellers! Check it out for free and let me know your thoughts!
Reach thousandsย of active founders looking for tools to solveย their problems. Our Featured Productย placement guarantees premium visibilityย with 7,458 weeklyย impressions for post ads (like you are reading right now).
Get direct access to your perfectย target audience - people actively building, launching, and growing startups who are ready to invest in solutionsย like yours. Limited weeklyย slots available.
Reserve yours now atย huzzler.so/advertise
Hello everyone! I'm excited to share a project I've been working on - an AI-driven investment platform called StockSageAI.
What I Built
StockSageAI is a comprehensive platform that helps investors make smarter decisions through AI-powered analytics, screening, and portfolio management. It features:
- Market Indices: Tracks major market indices across US and Indian markets, providing real-time performance data, historical trends, and comparative analysis. Users can visualize index movements and correlations, helping them understand broader market conditions that influence their investment decisions.
- Stock Analysis and Prediction: Offers in-depth stock analysis with technical indicators, fundamental metrics, and price pattern recognition. The system provides peer comparison, relative performance analysis, and visualizes historical price movements to help identify trends. Our predictive models generate insights on potential future performance based on historical patterns and market conditions.
- Portfolio Management: Empowers users to track their investments in a unified dashboard with detailed metrics on performance, allocation, and returns. The platform supports transaction tracking, automatically calculates realized and unrealized gains, and provides sector-based diversification analysis. Users can simulate 'what-if' scenarios to see how portfolio changes might affect overall performance.
- Portfolio Health: Evaluates portfolio robustness through a comprehensive health scoring system that analyzes diversification, risk alignment, sector allocation, and performance metrics. The system generates actionable insights and highlights potential vulnerabilities, recommending specific adjustments to improve portfolio resilience and alignment with investment goals.
- AI Portfolio Advisor: Creates personalized investment portfolios based on user-defined parameters like risk profile, investment goals, and time horizon. The AI optimizes stock selection and weighting using sophisticated mathematical models, considers budget constraints to provide actionable investment plans, and rebalances recommendations over time as market conditions change.
- Research & Analysis: Provides a comprehensive research environment with sector analysis, undervalued stock identification, and emerging trend spotting. The platform aggregates and analyzes financial metrics across market segments, helping identify opportunities that match specific investment criteria. Custom screening capabilities allow users to build and save their own research parameters for ongoing monitoring.
- Advanced Stock Screener: Includes 20+ ready-to-use screening strategies covering value investing, growth stocks, dividend income, technical patterns, and more. Users can also create custom screens using natural language queries.
- Multi-Market Support: Full support for both US and Indian markets with appropriate currency handling and market-specific metrics.
How I Built It
Technology Stack
- Backend: Python with SQLAlchemy for ORM
- Frontend: Streamlit for the interactive web interface
- Data Processing: pandas, numpy, and scipy for financial calculations and optimization
- Visualization: Plotly for interactive charts and performance visualizations
- Market Data: Integration with financial APIs for real-time price data
Key Technical Challenges
- Portfolio Optimization Algorithm: I implemented a sophisticated portfolio optimization engine using mean-variance optimization with custom risk weighting and diversification constraints. This involved advanced mathematical modeling to balance expected returns against volatility.
- Natural Language Query Engine: Created a system that translates natural language queries like "P/E < 15 AND ROE > 15" into structured database queries, making stock screening more accessible.
- Efficient Backtesting: Developed a robust backtesting system that can analyze historical performance of portfolios against benchmark indices, all within a responsive web interface.
- Data Consistency: Built a resilient database layer with transaction management and proper error handling to ensure data integrity across concurrent user sessions.
- Market Analysis Integration: Implemented algorithms to identify correlations between market indices and individual stocks, helping users understand how broader market movements might affect their specific holdings.
- Predictive Modeling Pipeline: Designed a modular system that combines technical indicators, fundamental data, and market sentiment to generate stock performance predictions with confidence intervals.
Learning Journey
The most challenging aspect was implementing the portfolio optimization algorithm to handle varying investment amounts while maintaining target allocation weights. I spent significant time researching financial modeling techniques and refining the algorithm to ensure it produces realistic, implementable portfolios.
Working with financial data presented unique challenges around handling missing values, currency conversions, and addressing edge cases in market data. These experiences significantly improved my data engineering skills.
Building the portfolio health analysis system required significant research into risk metrics and diversification measurement techniques to create a scoring system that provides genuinely useful insights rather than just raw numbers.
Next Steps
I'm currently working on enhancing the platform with:
- Machine learning for anomaly detection in stock prices
- Additional portfolio optimization strategies
- Improved real-time notifications for price movements
- More sophisticated backtesting capabilities
- Integration with economic indicators for better macroeconomic context
- Enhanced natural language processing for more intuitive research queries
I'd love to hear any feedback or suggestions from the community, particularly around the portfolio optimization algorithm or ways to make the platform more intuitive for non-technical users!
If you have ever imported an Excel spreadsheet into the company system or prepared it for future use - you know how much time it takes. Syncra can help you with that!
We can:
- rearrange data in whichever format you want (divide and merge data in desired column format),
- find missing, but required data,
- tell you about anomalies in your data (like negative price - we know it happens),
- and many more!
A year ago, I launched 21DaysTransform.com โ a simple habit-building platform based on the system I used to lose 30kg and reverse type 2 diabetes. I made it paid (โน499). I got just 4 paid users.
So I shut it down.
But I couldnโt ignore what it did for me โ and what it could do for others.
Last month, I brought it back.
This time, free. Clean. Focused.
Hereโs what I learned:
โข People donโt want โyet another productivity app.โ They want something they can actually do.
โข Showing exactly what theyโll do for 21 days (real habits like walking, journaling, digital detox, no sugar) converts way better than selling outcomes.
โข A clear journey (with small daily wins) is 10x more motivating than โtrack everything yourself.โ
โข Emojis, short copy, and real-life images = engagement.
What it is now:
โข 21 simple challenges โ one new habit each day
โข Fitness, mindfulness, productivity, and financial awareness
โข No fluff. Just transformation, one day at a time.
If youโre building something and feel like itโs not working โ maybe just change how you deliver the value, not the value itself.
Try it free: 21DaysTransform.com
I reached 2 million impressions on Reddit.
One of the most important factors on Reddit is timing.
You need to submit your post when the most audience is online.
In most cases, it is when the US audience is online.
I have 8-hour differences between the USA. In previous times, I could write a post and wait till midnight.
Now, I solved this problem. You can schedule posts for the future (in weeks and even months from now).
I always focus on getting the maximum results.
How did I do it?
I reused the same post on different subreddits.
This way, I could double and triple my results. Just by submitting the same post to relevant subreddits.
You know what ?
I solved this problem too.
You can schedule a post and cross-post to different subreddits.
The last post that I submitted via this way got:
30k impressions (the same post)
50k impressions (the same post)
10k impressions (the same post)
Every dev has an AI โassistantโ in their editor now. LLMs are great for the day-to-day, but letโs be real: writing code is the fun part.
Code Review? Not so much.
So we had to ask: Can LLMs actually review PRs? Or do they just throw out generic suggestions that sound useful but donโt hold up in practice?
We ran a benchmark comparing Kody vs. LLMs (GPT & Claude) to see who really delivers meaningful code reviews. The early data makes one thing clear: theyโre not the same.
โ ๏ธ One thing before we dive in: this benchmark is a work in progress. We know the dataset is still small, but the goal is clear: push LLMs to their limitsโand see where they break.
See what we found:ย https://kodus.io/en/benchmarking-code-reviews-kody-vs-raw-llms-gpt-claude/
Reach thousandsย of active founders looking for tools to solveย their problems. Our Featured Productย placement guarantees premium visibilityย with 7,458 weeklyย impressions for post ads (like you are reading right now).
Get direct access to your perfectย target audience - people actively building, launching, and growing startups who are ready to invest in solutionsย like yours. Limited weeklyย slots available.
Reserve yours now atย huzzler.so/advertise
yopaGo let's you use your phone WhatsApp messages without touching your phone. yopaGo reads out your WhatsApp messages and you can cm decide to answer to messages with your voice. Stay connected and safe when you drive a car or a motorbike or when you ride your bike. Even great when you are jogging and want to stay up to date.
Hey Huzzlers, Vincent here ๐ (founder of Huzzler).
Working on Huzzler for the last 6 months (2400+ founders, 1400+ products), I've started seeing a pattern: incredible products with 0 customers. It's truly saddening. So much potential, but people don't even know these products exist.
Most founders try to post on Huzzler, Product Hunt, X, Reddit , try ads.. but no results.
So I started wondering, what exactly is the problem? not enough information? bad products? Badly configured ads? ... No influence?
None of that. What worked for me (to grow Huzzler) was creating a system that forced me to:
- Define ONE narrow ICP (stop selling to everyone)
- Update messaging to resonate with that ICP
- Follow a daily routine of tasks
- Build a permanent Knowledge Base
This is why I'm building the Customer Engine: it's a system specifically Built for B2B SaaS founders who need their first paying customers. It works for any kind of B2B SaaS. You can see all features on the website
Why $499 one-time instead of a subscription?
The goal was to create an asset (the Customer Engine) you buy once and profit from forever. No monthly fees eating away at your profits.
E.g. If Customer Engine helps you land just 2 customers at $45/month, it pays for itself in 3 months. After 12 months, that's a $5,000+ ROI.
And that's for only ONE product. You get unlimited projects with lifetime access, so you can use it for every SaaS you build. The ROI compounds. Plus you get all future updates.
(Affiliates coming soon)
LLMs alone aren't great at reviewing codeโthey produce noisy, irrelevant, or even incorrect comments far too often.
We open-sourced Kodus, our AI-powered code review platform built specifically to address this problem. Instead of relying purely on GPT models, we use a deterministic, AST-based rule engine to provide precise, structured context directly to the LLM. The result is a dramatically reduced noise rate, fewer hallucinations, and comments you can actually trust (and merge).
A quick rundown:
- Hybrid approach (AST + GPT): Precise, deterministic context feeding into the LLM reduces false positives and irrelevant suggestions.
- Self-hostable & Open Source: Run on your own infra/cloudโno code leakage, no data privacy concerns.
- Customizable rule engine: Easily define and share context-specific review rules across your team and community.
We'd love your feedback, suggestions, or criticismsโespecially if you've experienced frustration with purely GPT-based review tools.
I wanted to share something we've been pouring our hearts into. Our team has collectively spent over three decades in this industry, working alongside writers, reading thousands of scripts, and honestly... getting frustrated with the same recycled formulas Hollywood keeps pushing.
For the past 10 years, we've developed a methodology that's helped hundreds of writers find their unique voice and craft stories that actually stand out. Now, we're turning that approach into an actual tool called Script.Movie.
This isn't another "three-act structure" preacher or "character archetype" regurgitator. We built this because we genuinely love great writing and want to see more original voices break through.
What makes it different?
Instead of forcing your creativity into some producer's template, we've created a resource that adapts to YOUR writing style. Whether you're a complete beginner or a seasoned pro, the tool scales with you. It includes carefully selected examples from exceptional screenplays (not just the same five movies everyone references), and focuses on helping you develop your story in YOUR voice.
We're tired of seeing the same stories told the same ways. We're tired of formulaic advice that crushes what makes writers special. And we're definitely tired of tools that feel like they were designed by people who've never actually written anything meaningful.
I know this community gets bombarded with "revolutionary new writing tools" every other day, but we've been in the trenches with you. We're writers and industry veterans who just want to see better, more authentic stories get made.
Would love to hear your thoughts or answer any questions. And if you're interested in being an early adopter, let us know.
Have a great one
Hi my name is Shaquan Jones Iโm the founder of Eden OS. Itโs an AI OS that developers and consumers a like can build on or use to suite their needs. Iโm building a community on Reddit: buildwitheden and YouTube: buildwitheden. My goal is to build Eden but also empower people with low resources to build software using AI. Please check me out on YouTube or Reddit!
I lead Product at Velocity. Our on-demand usability feedback is putting a stop to wasted human time by encouraging designers to first review with AI simulations. We are a team of ex-agency owners whose teams had a hand in building big mobile Apps for companies like Meetup, Soundcloud, Mubi, Glovo.
We, like many design, engineering and Product teams, were often in a position where evidence was weak and feedback was impossible to access, but we were still under pressure to deliver! Limited time, budgets and firewalls meant waiting weeks to iterate.
Now, in seconds, on-demand, you can challenge an AI on your app's designs just like in user testing sessions. Ask questions, then witness a simulation trying to 'use' connected images of your current or future app.
We are first launching as a Figma plugin to provide designers with 24/7 on-demand design feedback. We offer the earliest validation BEFORE code and BEFORE asking real humans.
Figma Plugin link: https://www.figma.com/community/plugin/1397952939678206595/ai-design-reviews-user-simulations-then-human-feedback-1min
Website Link:
Demo Video:
https://www.youtube.com/watch?v=qxWCQ1EIPPo
Would love to hear your feedback, thanks in advance ๐
Hey everyone,
Excited to share a project I've been working on called AddCal!
What I Built:
AddCal is a tool designed to tackle the common frustration of sharing an event and ensuring people can easily add it to their specific calendar system (like Google Calendar, Outlook Calendar, Apple Calendar, etc.). Instead of just sending details and hoping they manually input it correctly, AddCal aims to streamline that process.
The core idea is to provide a simple, universal way for users to add events they receive to their preferred calendar with minimal fuss.
How I Built It:
I developed AddCal using Laravel for the robust backend logic and API handling. On the frontend, I used Vue.js to create interactive user interface components. Styling was handled efficiently using Tailwind CSS, allowing for rapid development of a custom look and feel.
To seamlessly connect the Laravel backend with the Vue.js frontend without building a separate REST API, I leveraged Inertia.js. This setup provides a modern, single-page application experience while allowing me to work primarily within the Laravel ecosystem.
A key part of the development involved generating the correct formats ([e.g., .ics files]) compatible with the major calendar platforms. Handling time zones correctly and ensuring cross-calendar compatibility were also interesting challenges during the build.
Achievements & What I Learned:
Building AddCal has been a fantastic learning experience, especially in leveraging the synergy between Laravel, Vue, and Inertia for a cohesive development workflow [or mention another specific skill area you improved]. The main achievement for me is creating a tool that solves a tangible annoyance I've personally experienced and seeing it work reliably across different calendar types.
Feedback Welcome!
I'm keen to hear your thoughts! Any constructive feedback on the concept, potential features you'd find useful, or technical implementation suggestions would be greatly appreciated.
Thanks for checking it out! Looking forward to contributing and learning together in this community.
#showcases #laravel #vuejs #tailwindcss #inertiajs #productivity #webdev
After years of collecting resources and building side projects, I launched my first product: unarkhive.com ๐
A clean, fast, and constantly evolving archive of tools, apps, and inspiration for developers, designers, and makers.
No monetization. No popups. Just quality content that fuels creativity.
Built with Next.js, Tailwind CSS, and a love for minimal UX.
This is not the destinationโitโs the beginning of a longer journey to ship, learn, and grow.
Feedback is always welcome. Letโs keep building. ๐
Hi,
I created my product to solve my own problem: writing blog posts. The idea of doing keyword research, planning, outlining, drafting, etc, etc, etc drives me crazy. As a builder, I'm not comfortable writing posts.
To fix my own problem, I launched https://owlendar.com
I've seen many people talking about how this can affect SEO negatively in some cases, as Google sees AI content creation as a warning sign. Well, Owlendar have published 30 articles for one of my websites so far and all good. The SEO is picking up.
How do you feel about AI blog posts? Do you want to give Owlendar a try?
Reach thousandsย of active founders looking for tools to solveย their problems. Our Featured Productย placement guarantees premium visibilityย with 7,458 weeklyย impressions for post ads (like you are reading right now).
Get direct access to your perfectย target audience - people actively building, launching, and growing startups who are ready to invest in solutionsย like yours. Limited weeklyย slots available.
Reserve yours now atย huzzler.so/advertise
Charty AI is a powerful mobile application that uses advanced artificial intelligence to analyze price charts for any financial instrumentโโโincluding stocks, cryptocurrencies, indices, ETFs, and commodities. It transforms visual chart data into human-readable reports, helping traders and investors of all levels make smarter, faster decisions.
Whether youโre a beginner who struggles with technical indicators or a pro looking for a second opinion, Charty AI acts as your personal chart analystโโโright in your pocket.
Hey everyone! ๐
Iโm excited to share my latest project: ToneCraft AI โ a free tool that intelligently transforms the tone of your text while preserving its meaning.
๐ ๏ธ What I built:ToneCraft AI is a web app that helps users rewrite their content in different tones such as:
- โ Professional
- โ Friendly
- โ Formal
- โ Casual
- โ Persuasive
Itโs ideal for emails, social media posts, job applications, and more. Whether you're a marketer, creator, or just someone who wants to sound more polished, it can help your writing hit the right note.
โ๏ธ How it works:- Built with React, Tailwind CSS, Firebase Auth, and Node.js
- Integrated with OpenAI to power smart tone rewriting
- Hosted on Replit, making it super accessible
- Users get 5 free tone conversions without login, then can sign up for unlimited access โ still 100% free
We all write a lot โ but not always with the right tone. I wanted to create something that helps people communicate better, especially in professional and digital spaces. No fluff, no paywalls.
Would love for you to try it and let me know your thoughts or suggestions!
Thanks for reading ๐
Fauzia Luqman
I came across a conversation between two developers discussing how frustrating it was to deal with Stripe integration on existing support platforms. For creators in India, especially those relying on UPI, the experience felt unnecessarily complexโand sometimes, just broken.
What stood out even more was the discomfort around platform commissions. Support, in its true sense, isnโt supposed to feel like a cut is being taken from appreciation.
Thatโs when the idea took shape.
This project BuyMeAChai was built to address those specific friction points:
No third-party payment gateways, no hidden deductions, and no complex onboarding. Just a simple, direct way to receive support using UPI, with a familiar, creator-first experience.
Itโs not trying to be a disruptor. Itโs trying to be simpler.
More aligned with how we already share value with each other here.
If youโre curious, feel free to check it out.
And if you do, Iโd genuinely appreciate hearing what you thinkโgood, bad, or in between.
I was casually scrolling where I came across a conversation between two developers discussing the issues with stripe on buymeacoffee. I thought yes, it's a problem which I can solve.
Additionally, people were also not very intrigued by the idea of commission which buymeacoffee or similar products were charging.
So here we are, presenting buymeachai, Buy Me A Chai is a heartfelt platform that lets developers, creators and side hustlers receive support as easily as sharing a cup of chaiโwith zero fees and instant payouts. Designed for Indiaโs digital economy, it removes all friction with one-click UPI payments, customizable pages, and a warm, creator-friendly experience.
Do try buymeachai and let me know in the comments what is your honest opinion about it?
We're thrilled to announce that after months of dedication and development, the PeakRoutine website has officially launched!
Why did we build this?
Because understanding your health data shouldn't require a medical degree.
Many of us track our metricsโwhether it's glucose levels from a CGM, sleep patterns, or daily activityโbut making sense of this information and knowing how to act on it is where most people get stuck.
PeakRoutine bridges this gap. Our AI-powered health coach analyzes your personal health data and crafts customized routines that actually work for your unique body and lifestyle. No more generic advice or wondering why your glucose spiked after that "healthy" meal.
Visit us at https://peakroutine.netlify.app/to discover how PeakRoutine can transform your relationship with your health data into actionable, personalized wellness routines.
๐ฃย Would Love Your Feedback!
Or explore the idea behind it: https://www.reddit.com/r/PeakRoutine/
Hello all! Iโm co-founder of Deadline Bar. Weโre a caffeinated energy bar for busy professionals who are physically active.
R&D was a long road but weโre nearing the end and are spending our time now trying to build preorders. Weโre reaching out to retailers we believe would be a good fit for us like Whole Foods, Sprouts and Wegmans.
Weโre a few months from launch and are getting the word out there that weโre coming soon! Come check us out and tell us what you think and feel free to ask anything.
Hey everyone! ๐
I wanted to share the marketing strategy we've been testing for our project, Gitdocs AI, and open the floor for feedback or similar experiences.
Weโre building a tool that helps developers auto-generate high-quality README files using AI, based on the actual content of their GitHub repos. But instead of going heavy on paid ads or traditional promotion, weโre trying a slower, more sustainable path:
Our Current Strategy:- Community-first mindset: Weโve been active in open-source and dev forums, not promoting the tool, just genuinely helping folks write better docs.
- Content > Ads: Weโve started a blog + mini-guides (like โHow to structure a great READMEโ) to provide value without selling anything.
- Dogfooding: Every update we make to the tool is something we document and share transparently on Twitter/LinkedIn, focusing on what weโre learning.
- Feedback loop: Early testers are shaping the roadmapโthis has led to more organic interest than we expected.
- Cold outreach via LinkedIn (even thoughtful messages) mostly felt inorganic.
- Reddit can be great, but we had one post flaggedโeven though it wasnโt promoโso we're being extra cautious now.
Would love to hear from others working on dev tools or bootstrapping products:
๐ง What has worked for you in building awareness authentically?
Letโs make this thread a goldmine for early-stage marketing ideas that donโt rely on ads or spam ๐
Hey Huzzlers, Vincent here ๐ (founder of Huzzler).
Working on Huzzler for the last 6 months (2400+ founders, 1400+ products), I've started seeing a pattern: incredible products with 0 customers. It's truly saddening. So much potential, but people don't even know these products exist.
Most founders try to post on Huzzler, Product Hunt, X, Reddit , try ads.. but no results.
So I started wondering, what exactly is the problem? not enough information? bad products? Badly configured ads? ... No influence?
None of that. What worked for me (to grow Huzzler) was creating a system that forced me to:
- Define ONE narrow ICP (stop selling to everyone)
- Update messaging to resonate with that ICP
- Follow a daily routine of tasks
- Build a permanent Knowledge Base
This is why I'm building the Customer Engine: it's a system specifically Built for B2B SaaS founders who need their first paying customers. It works for any kind of B2B SaaS. You can see all features on the website
Why $499 one-time instead of a subscription?
The goal was to create an asset (the Customer Engine) you buy once and profit from forever. No monthly fees eating away at your profits.
E.g. If Customer Engine helps you land just 2 customers at $45/month, it pays for itself in 3 months. After 12 months, that's a $5,000+ ROI.
And that's for only ONE product. You get unlimited projects with lifetime access, so you can use it for every SaaS you build. The ROI compounds. Plus you get all future updates.
(Affiliates coming soon)
Hey everyone! ๐
Super excited to finally share something Iโve been building over the past few weeks โ Gitdocs AI.
๐ง What is it?Gitdocs AI is a developer tool that analyzes the structure and content of a GitHub repository and generates a clean, professional README file using AI. It's designed to help devs ship better documentation without spending hours figuring out what to include or how to format it.
โ๏ธ How it works:- GitHub Integration: Users connect their repo, and the tool fetches metadata, file structure, and key code files.
- AI Analysis: It uses natural language generation (via locally run models or API-based, depending on setup) to generate a README draft with installation steps, usage instructions, features, and contribution guidelines.
- Customization Options: Users can tweak the tone (casual, professional, etc.) or focus areas (e.g., installation-heavy vs. feature-focused).
- One-Click Commit: The final README can be committed directly to the repo after review.
- Frontend: Next.js + Tailwind
- Backend: Node.js, Python (for AI processing), GitHub API
- Database: Supabase
- AI Integration: Custom prompt pipelines + optional Ollama local model support
README files are often overlooked, yet theyโre the first thing people see. As someone who jumps between side projects, I found myself procrastinating the docs every single time. This was my attempt to solve that friction point โ for myself and maybe for others too.
Would love your thoughts, suggestions, or even tough love if you spot something I could improve.
Thanks for reading! ๐