I wasn’t sure about WhatsApp marketing, but now I’m rethinking things

I’ve been relying on email for marketing for a while, but lately, it’s been feeling… off.

• Open rates weren’t great.

• Messages kept getting buried in promotions.

• Even warm audiences just weren’t engaging like they used to.

I wasn’t sure what to do, so I started experimenting a bit. I tried sending a few of the same messages through WhatsApp, just to see what would happen.

Honestly, I didn’t expect much. But the engagement was way higher than email. More people opened, clicked, and even replied. It felt weirdly personal, like email used to be.

That got me wondering if other brands were seeing the same thing, they might benefit from it too. So I built Whatsapplab.co as a small tool to make testing it easier, basically turning email flows into WhatsApp messages without extra work.

Would love for people to try it and see the difference for themselves. If you have any feedback then I'd love to hear it!

Struggling to keep up with social media? Our AI-powered SaaS automates content creation, tone selection, language selection, replies and analytics—so you can focus on what matters.

✅ AI-Generated Content – Instantly create high-quality posts, captions, and hashtags tailored to your brand.

✅ Smart Tone Selection – Adjust your messaging style for any audience, from professional to playful.

✅ Multi-Language Support – Create and translate content seamlessly for a global audience.

✅ Reply Creator – Respond to comments and messages with AI-driven interactions.

✅ Analytics – Gain deep insights and track performance with real-time data.

Take your social media strategy to the next level—smarter, faster, and effortlessly! 🌟

📈 Start your free trial today!

I Created a Dating Game – Would Love Your Feedback

I've been working on Vermicelle (https://vermicelle.eu/), a unique dating game where you answer fun questions while getting to know others. It's a mix of trivia and matchmaking, designed to spark interesting conversations and connections.

The game will soon be available as a Trusted Web Activity (TWA) on the store, making it easily accessible like a native app.

I’d love to see it take off, and I’m looking for feedback! If you have a moment, feel free to try it out and let me know what you think. Does the concept appeal to you? Any ideas for improvement?

Thanks a lot, and looking forward to your thoughts!

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:

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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

1. 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.
2. 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.
3. Efficient Backtesting: Developed a robust backtesting system that can analyze historical performance of portfolios against benchmark indices, all within a responsive web interface.
4. Data Consistency: Built a resilient database layer with transaction management and proper error handling to ensure data integrity across concurrent user sessions.
5. 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.
6. 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!

I have been building and coming up with product ideas for over 7 years.

One day I had the itch to build a new product. So I got to thinking...

After hitting a dead end, I figured why not build a platform that helps people like myself ideate through product ideas (since I always find myself doing this).

So I got to building...

Then my wife gave birth to my two beautiful baby boys....

Then I got laid off....

Stressed about getting laid off after just having two new boy I started to build even more.

I was tired and stressed but, product was so fun to work on, so I kept building.

After many iterations I have finally launched my platform (in beta).

EazleAi

I already got some users, and have already received some good feedback.

I hope y'all find some enjoyment in the product.

I actively maintain it, aiming for weekly updates.

P.s the name (Eazle) is a mixture of the names of my two boys!

Hello fellow Huzzlers,

I've been building Web3Wizz all last year after building dApps for 10 years and seeing how repetitive it is.

What is it?

A tool that automatically generates frontend interfaces for smart contracts.

How It Works:

1. Input your smart contract address
2. Select which functions to expose
3. Get a customizable interface that handles:

• Wallet connections
• Transaction management
• Cross-chain compatibility
• User interactions

Technical Implementation:

• Built with React, NextJS, TailwindCSS
• Custom embedded Web3 wallet
• IPFS for decentralized storage
• AI agents for interface customization
• Supports all major EVM chains

Current Impact:

• Managing $700k+ in total value locked
• Processed 260+ successful transactions
• 5+ active production deployments

Real Use Case:

Helped FX1's DeFi project launch their interface in 2 hours instead of their planned 1-month development cycle. Their pool now manages $641k with 235+ successful transactions.

Learnings:

1. Frontend development is a massive bottleneck in Web3
2. Most smart contract interactions follow similar patterns
3. Founders value quick deployment over custom solutions
4. Security and reliability are non-negotiable

Next Steps:

• Getting 10 paid users
• Learning how to do marketing as a dev

Happy to answer any technical questions or provide more implementation details! Any feedback would be appreciated!

Website: web3wizz.com

I’m currently building a platform with a simple mission:

Make understanding a stock as effortless -> yourwealthsignal.com

No overwhelming charts. No jargon-heavy reports. Just clean, insights that actually make sense — whether you're new to investing or just tired of jumping between a dozen tools to make one decision.

The idea sparked from my own frustration — trying to figure out whether a stock was worth buying felt like decoding hieroglyphs. So I decided to fix that.

Here’s what I’m focusing on:

• Simplified financials (profitability, growth, margins) in one glance
• Clean, interactive visuals — no finance degree required
• Quick insights (e.g. “Is this stock overvalued?”) backed by real data
• Long-term stats, ratios, and trends without the clutter

Still very much in the works, but I’d love your feedback:

What would you want in a dead-simple stock analysis platform?

Would love to hear your thoughts, or even pain points you’ve faced!

My-Legacy.ai is live on Product Hunt!

Legacy planning meets AI + quantum-resistant security.

Built for families ready to protect, preserve, and pass on their legacy — all in one place.

Support us here https://www.producthunt.com/posts/my-legacy-ai-2-0

It just takes 1-Click 

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 All,

I have built a new feature in my habit building app - buddy challenge. You can challenge your buddy and build the habit together.

Please checkout once. Looking for feedback.

Thank you.

Hey all 👋 hope you're doing well!

I recently made a core change to the Huzzler feed and would love to get your opinion on this: now all posts are shown on the homepage (including those that have been detected to include promotional material).

Previously these promotional posts where only shown on the #showcases page, not on the homepage.

This makes the site feel more "alive" and gives your projects more expose, with the slight downside of having more promotional material on the homepage, which may come across as spam.

What do you guys think about this change? Keep showing promotional posts on the homepage or skip it?

Any feedback (also related to other stuff) is greatly appreciated 😁

Thanks all for being on Huzzler! Love this community 🧡

Happy holidays 🎉🎄

Particle systems on the web usually rely on Canvas or WebGL. While powerful, those approaches often add complexity and require specialized rendering pipelines.

PollenFX takes a different approach. It is a lightweight, code-first particle engine built entirely on the DOM. Instead of drawing pixels to a canvas, PollenFX generates and animates real HTML elements, turning them into particles through JavaScript and CSS transforms.

Because particles are simply styled <div> elements, they integrate naturally into any webpage. They can be inspected in devtools, styled with CSS, and attached directly to existing UI elements.

The engine itself is minimal: one JavaScript file, no dependencies, and a modular architecture built around managers, emitters, particle data, and behaviors. This structure makes it possible to assemble complex visual effects—such as smoke, sparks, or ambient UI animations—entirely through code.

PollenFX demonstrates that rich particle effects don’t always require heavy rendering technology. By using the DOM itself as the rendering surface, it offers a surprisingly flexible and elegant way to bring motion and atmosphere to modern web interfaces.

Demo: https://www.youtube.com/watch?v=AZOJmM1GhXU

I am a 23year old computer science student and my uncle runs a cleaning service for clothes. He asked me to update his bussines website from 20 years (like every family member when you are a programmer). So I whipped up a simple modern website that has everything he needed.

Not a week goes by and he again asks me to change some text on the website according to the current sale then later to maybe change the working hours to new ones and so on... small things but still they take time and are annoying to change frequently. So I started to look for some simple CMS that I could incorporate into the website so he could change the text by himself. He is not a big tech savy (can use basic Excel but that's about it) so I couldn't find a simple enough CMS.

Being a crafty guy I used Google Sheets API to create a makeshift CMS so text on the website would be read from the dedicated cells in the Sheet. The thing worked like a charm. It was easy enough to use and the technology was familiar so he could use it well. Apart from the fiddely API integration at first it worked... until he deleted a cell, or renamed a list or something like that. The whole thing broke.

I had enough and decidet to create my own simple CMS that even an ape could use. It would consist of only the text name, the text value and a save button. So within a month it was done. Finaly everything worked and I didn't have to worry about the website.

I later decided to polish the CMS further and made it into full fledged service so people with the same problems could use it. You can check it out at editease.net it is completley free. I would appreciate any kind of feedback regarding the bugs, design or any further improvements.

Have made A SaaS ValidateAIdea that helps in validating your idea.

Would love feedback on it.

That's why I built CopyMeow

Goal is to easily provide curated color palettes with meaning.

Anyone can generate a color palette of their choosing as well.

I extracted Huzzler's color palette, while also that of other websites.

Check out the demo here: https://youtu.be/HzkJeo_MGWw

Verex is an AI-powered QA testing tool that helps developers and teams automate their web app testing without writing code. Onboard in minutes, run tests via CI/CD or manually, and get instant visual bug reports. No test maintenance, no hassle. Perfect for fast-moving startups, agencies, and dev teams that want to save time and ship faster with confidence.

Checkout our demo here: https://www.youtube.com/watch?v=KUHjFeHlSlg

Every products starts at 0, but going from 0->1 is where entrepreneurs show their skill.

To get your first client, you need to convey trust.

Assuming word of mouth hasn't picked up yet...testimonials are the solution, right?

Since user feedback has a positive + negative aspect to it, why not use the positive feedback as testimonials?

That's what I did.

Now all listed products are eligible for :

• reviews
• backlinks
• testimonials.

Check out the ( < 2 min) video tutorial here: https://youtu.be/z0NOT2mouYQ

I write about it in more detail here : https://www.realreview.space/blog/how-to-get-testimonials-for-your-saas-in-3-simple-steps

My team and I are building something that we hope can genuinely help founders and small recruiting teams save time while hiring.

We’ve put together a platform that makes screening job applications way more efficient—something we originally built to solve our own hiring headaches.

Here’s what it does:

• Scores resumes automatically based on skills, experience, and job gaps (so you don’t waste time on obvious mismatches)
• Has in-built interview scheduler and email management
• Runs AI interviews for early screening
• Has built-in, role-specific assessments (for tech, sales, marketing, PMs, etc.)
• Plus a kanban-style pipeline that ranks and sorts candidates so you’re not buried in spreadsheets

We know there are other tools out there—but we really believe that the difference comes down to the small things: how well the tool fits into your workflow, how flexible it is, and whether it actually makes your life easier. That’s why we’re looking to partner closely with a few early users who are actively hiring, get honest feedback, and shape this into something super useful.

If you're in the middle of hiring right now, we’ll help set things up for you—and of course, it’s completely free to use for early users. If that sounds interesting, feel connect with me on aman@komsgro.com

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

Managing subscriptions and recurring payments doesn’t have to be complicated. Saaslogic is designed to streamline your entire billing process, from automation to analytics — all in one place.

🔎 Key Features:

• Billing Automation: Automate invoicing, payments, and renewals effortlessly.
• Subscription Management: Track and manage customer subscriptions with flexible pricing models.
• Recurring Payments: Ensure smooth transactions with multiple payment gateway integrations.
• Accounting and Taxes: Stay compliant with automated tax calculations.
• Reporting & Analytics: Gain actionable insights into your revenue, churn rate, and growth trends.

Whether you're a growing startup or an established SaaS business, Saaslogic helps you focus on growth while we handle the complexities of billing and payments.

Have questions or want to see how it works? Let’s chat!

✨ Key Features:

• Instant Campaign Planning: Generate complete marketing campaigns with tasks, checklists, and deadlines
• AI-Powered Research: Automatically gather insights and competitive analysis
• Smart Task Management: Create perfectly organized to-do lists with user-focused tasks
• Custom Templates: Choose the number of cards, labels, checklists and due dates that work for you
• Real-Time Updates: Keep your marketing plans current with the latest research and trends

I built Growth Toolkit as a dedicated solution for growth engineers and technical consultants who need a fast, comprehensive way to check a website’s technical SEO health directly in their browser.

What It Does:

• Meta Tag Issues: Automatically shows all meta tags on a page and highlights any with issues.

• Edit Meta Tags: Quickly edit meta tag data within the extension popup, then copy-paste the updated tags.

• Meta OG Tag Issues: Displays all Open Graph tags and flags problematic ones.

• Edit OG Tags: Provides a similar editing experience for OG tags.

• Image Issues: Lists images along with their alt tags and points out any missing alt attributes.

• Internal Links: Scans for all internal links, highlighting any broken ones.

• External Links: Checks external links and flags those that are broken.

How It’s Built:

The extension is built entirely with React and stores all data in the user’s browser—no login required. This makes it lightweight, fast, and secure.

Why I Built It:

As a Growth consultant for startups with a developer audience, I frequently analyze and optimize web pages. I needed a tool that could programmatically surface technical SEO issues and compile them in a clean, copy-ready format for client reports. Most tools out there either required juggling multiple plugins or lacked the depth I needed—so I built Growth Toolkit to solve that.

What’s Next:

Right now, I’m focusing on the most important checks. Once those are done, I’ll add a 1-click report generator to make it easier to share findings. 

Try It Out:

Growth Toolkit is live and free on the Chrome Web Store:

👉 https://chromewebstore.google.com/detail/growth-toolkit/klbjmnodglnjjogehfpjabpbbcligdio

Would love honest feedback! 🙌

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 metrics—whether it's glucose levels from a CGM, sleep patterns, or daily activity—but 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.

📣 Would Love Your Feedback!

Or explore the idea behind it: https://www.reddit.com/r/PeakRoutine/

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 everyone!

I'm an esports fan and owner of an org called BLVKHVND that had been heavily inspired by Moneyball to recruit global unseen talent to see if we can go all the way. For us, that lead to the first Pokemon Unite World Championship in 2022, playing 3rd at Apex Legends Global Championship in 2023, and winning a litany of tournaments and events from a local and regional level in a variety of games.

We wanted to find a way to share our insights and within the past two weeks I worked with my scout to bring Winrvte (winrate) to life. It's a recruitment tool that gives players visibility to orgs looking to sign talent, a stats oracle for broadcasters and enthusiasts to tell stories and build content, and a roster builder with implications toward fantasy play and players queuing up for tournaments.

Beta starts soon and I wanted to get ahead of it and push this for visibility and to get some thoughts related to the project. We're covering Valorant, League of Legends, and CS2 for now with more games coming.

Come check us out and sign up for the beta:

→ https://winrvte.com

Thanks for the time!

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!

Hey everyone! 👋

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.

We’re 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, we’re trying a slower, more sustainable path:

• Community-first mindset: We’ve been active in open-source and dev forums, not promoting the tool, just genuinely helping folks write better docs.
• Content > Ads: We’ve started a blog + mini-guides (like “How to structure a great README”) 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 we’re learning.
• Feedback loop: Early testers are shaping the roadmap—this 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 flagged—even though it wasn’t promo—so we're being extra cautious now.

Would love to hear from others working on dev tools or bootstrapping products:

🧠 What has worked for you in building awareness authentically?

Let’s make this thread a goldmine for early-stage marketing ideas that don’t rely on ads or spam 🙌

I've just launched Link Couture 🚀

We believe that your bio site should be an attractive interface for your brand universe, that encourages your audience to interact with your online ecosystem 🌐

The way you present yourself online is very important, it portraits your professionalism and transmits confidence in your brand & products. Your link in bio is often the first touchpoint a potential client has with your brand - So why not make it stellar?

Your digital world should be exciting, user-friendly and beautiful.

We would love to know what you think about it ✌️

Hey everyone! 👋

Super excited to finally share something I’ve been building over the past few weeks — Gitdocs AI.

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.

• 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 they’re 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 — 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! 😊

Hey folks! 👋

Super excited to share something I’ve been working on for a while:

DoCoreAI – a dynamic temperature profiler for LLMs that auto-optimizes your prompts without manual tuning.

When working with AI models like GPT or Mixtral via OpenAI or Groq, I noticed a lot of devs (including me) were stuck tweaking prompts manually—changing temperature, adding random system messages, guessing what might help the output.

Fine-tuning? Too expensive and time-consuming.

Prompt engineering? Trial and error.

DoCoreAI takes your raw prompt input and dynamically adjusts:

• 🔍 Precision
• 🎨 Creativity
• 🤖 Reasoning style
• 🌡️ Temperature

All based on the context of your input — giving you more accurate, useful, and optimized responses on the fly.

It works with both OpenAI and Groq, and it’s completely open source.

This started as a side project while experimenting with customer support AI.

I wanted AI to adapt intelligently to user intent, without hardcoding tons of prompt templates or tweaking settings manually.

Now it’s evolved into something I believe can help:

• Developers
• Prompt engineers
• AI researchers
• Anyone building AI-powered tools

• Python + FastAPI
• OpenAI & Groq support
• Swagger Docs for easy testing
• Cosine similarity for reuse of past “intelligence profiles”

Check it out on GitHub: https://github.com/SajiJohnMiranda/DoCoreAI

Or explore the idea behind it: Reddit

Would love thoughts, issues, stars ⭐, and feedback from fellow builders!

Thanks Huzzler fam! 🙌

Let’s build smarter AI tools—without overengineering the hard parts.