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- google oauth is a must, 90% of users prefer it.
- skip free trials, charge from day one.
- market shamelessly, talk about your product everywhere.
- respect unsubscribers, their feedback is gold.
- post-launch = 80% marketing, 20% tweaks.
- use your own saas, spot and fix bugs firsthand.
- engage users, email, text, and talk to them often.
- consume quality content, read books, watch documentaries.
- think bigger, don't settle for $10k/month when $100k is possible.
- detach from ideas, if it doesn’t make money, move on.
- landing page = apple quality, sleek, modern, and polished.
- mvp = core features only, follow the moscow framework.
- retention drives revenue, 70% comes from existing users. reduce churn.
- price on value, not competition.
- brand matters - logo, responsiveness, good language.

1. double down on your story
- share why you built your saas, what problem hit you personally? i posted on twitter about my struggle with content issues, and gained 100s of signups.
- be raw in your writing. no corporate jargon, just real talk about your wins and failures.
- post on indie hacker forums or linkedin about your journey weekly to build trust.
- reply to every comment or dm to show you’re not a faceless bot.
2. use ai as a co-founder, not the boss
- lean on ai for repetitive tasks like drafting emails or analyzing user data, i save atleast 10 hours a week this way.
- but don’t let ai write your core messaging. users can smell generic ai content a mile away.
- experiment with tools like copilot for coding, but always tweak the output to fit your style.
- keep your product’s soul human by focusing on unique ux that ai can’t replicate.
3. build community, not just a product
- start a slack or discord for your users to swap tips and feel heard. my community of 100 users drives 30% of my referrals.
- host text-based amas on x or reddit to answer questions and get feedback.
- share user stories (with permission) to show real people love your tool.
- listen to complaints and act fast - nothing says “human” like fixing a bug someone flags.
4. focus on niche problems ai can’t solve
- ai is great for broad tools, but niche pain points are your edge. my saas solves a specific workflow issue for freelancers that ai apps overlook.
- dig into forums like indie hackers to find underserved needs in your space.
- talk to 5-10 users directly (via dm or email) to validate your idea before building.
- keep iterating based on real user feedback, not ai-generated assumptions.
ai’s a tool, not your competitor. so use it to free up time.
and pour your energy into being the human your audience trust.
good luck.
PS. get ready-to-post content for your brand that sounds just like you at AuthenticPosts .com

1. micro-content on x and linkedin
- post 1-2 sentence tips daily about your niche.
- join trending threads on x with thoughtful replies to get eyes on your profile.
- pin a post linking to your landing page, but make it value-first (like a free guide).
- spend 20 minutes a day engaging, and you’ll build a following without ads.
2. collaborate with other founders
- dm 3 to 5 indie hackers in your space for a newsletter swap or blog guest post. i got 200 signups from one swap.
- offer to write a case study for a complementary tool’s blog - free exposure, high trust.
- join indie hacker meetups (virtual or local) to find collab partners.
- keep it low stakes, small partnerships often lead to bigger ones.
3. low-cost seo experiments
- target super-specific keywords with low competition, like “task manager for remote teams 2025.” i rank 3rd for one and get 10 signups a month.
- write one 1000-word blog post a month packed with practical tips, not fluff.
- use free tools like answer the public to find what your audience searches.
- link to your signup page subtly in every post to drive conversions.
4. leverage user feedback loops
- email every new user after 7 days to ask what they love or hate. i fixed a ui issue from one reply and cut churn by 5%.
- add a feedback form in your app with one question: “what’s one thing we could do better?”
- share quick wins (like new features) on x to show you listen.
- turn happy users into case studies for your site - real stories convert.
tiny bets let you test, learn, and grow without risking it all.
i would like to know what small experiments are you running for your saas..
PS. I give honest feedback so you don’t waste time, money, or effort. Get any kind of help you need at ZeroToCustomers .com

idea: a no code platform that lets teams build and deploy ai agents for communication tools like slack, teams, and hubspot to automate tasks and enhance workflows.
problem: teams waste time on repetitive tasks and struggle to integrate ai solutions without technical expertise. this slows productivity and creates friction in daily workflows.
target audience: small to medium-sized businesses, remote teams, and non-technical managers in industries like tech, healthcare, and customer support who need efficient, automated workflows without hiring developers.
interested in 60+ market-proven saas ideas?
each one includes:
✅ the exact solution the problem needs
✅ how hard it is to build (tech, api, infra)
✅ how to get users (traction channels)
✅ proof it works (someone’s already making $$)
i research fast, profitable saas / ai agents and share the best markets every weekend → validatedsaas .com
good luck.
1. brand (where your people are)
- show up on x, linkedin, or niche forums like indie hackers where your audience lives.
- share raw, helpful insights, think quick tips or stories from your journey, not polished fluff.
- reply to comments, join threads, and be human. i’ve had dm convos on x turn into paid users.
- post consistently (2-3 times a week) to stay top of mind without spamming.
2. traction channels (get creative)
- try low-cost experiments like guest posts on relevant blogs or newsletters in your niche.
- affiliate programs are hot, offer 50% commissions to bloggers or micro-influencers who vibe with your tool.
- tap into communities like discord or slack groups; i’ve seen founders drop value bombs in general chats and get signups.
- test one channel at a time, track clicks, and double down when you see conversions.
3. seo (where the gold is)
- focus on long-tail keywords your users actually search, like "best crm for solopreneurs 2025."
- write in-depth blog posts (1500+ words) that answer questions better than competitors. i rank #1 for a niche term just by being thorough.
- use tools like ahrefs or ubersuggest to find low-competition keywords, and optimize with clear headers and meta descriptions.
- link internally to your signup page to drive conversions without being salesy.
4. product (make it shareable)
- build a product so good that users rave about it. one happy customer tweeting about my saas brought 10 signups.
- add a “refer a friend” feature with a small discount or perk, it’s low effort, high reward.
- ask for testimonials right after a user sees value (like after a key feature clicks for them).
- make your onboarding smooth as butter so users stick around and tell others.
5. bonus tip: partnerships
- team up with tools that complement yours for co-marketing like a zapier integration or a joint webinar.
- reach out to niche newsletters for a shoutout; i got 50 signups from a $200 sponsorship.
- find micro-influencers (5k-20k followers) who align with your vibe and offer them free access for an honest review.
- start small, build trust, and scale to bigger collabs as you grow.
good luck.

Idea: A platform that automates the creation and publishing of AI-generated, faceless UGC videos for TikTok to drive traffic to businesses.
- Problem: Small businesses struggle to create consistent, engaging TikTok content due to time constraints and high costs of professional UGC. This limits their ability to leverage TikTok’s massive audience for lead generation.
- Target audience: Small business owners, e-commerce brands, and solopreneurs in niches like retail, fitness, or tech, who want affordable, automated TikTok marketing to boost traffic and sales.
In case you are interested in:
✅ Exact solution that this problem demands.
✅ Development complexity (technical + api + infra)
✅ Product distribution (traction channels)
✅ Validation proof (a competitor already making $$)
I research profitable SaaS built in relatively less time and share the best opportunities every weekend.
i listed the most underrated high potential ai business ideas for 2025:
1. ai-powered digital twins - saas platforms that create digital replicas of physical assets for simulation, monitoring, and optimization purposes.
2. ai automation for large enterprises - solutions that help big businesses implement ai to streamline processes, improve efficiency, and reduce headcount, starting from niche applications.
3. ai shopping assistant - tools that personalize online shopping experiences by analyzing user behavior, preferences, and trends to increase engagement and sales for retailers.
4. fintech innovation for the next decade - research and develop ai-driven fintech solutions to capitalize on emerging trends and opportunities in financial technology.
5. ai-based financial forecasting for startups - tools using machine learning to provide accurate financial forecasts and scenario planning for early-stage startups.
6. ai-assisted worker job board - a platform connecting businesses in wealthy nations with ai-assisted workers in emerging markets, enabling cost-effective outsourcing.
7. ai-assisted employee board - a job board matching employers with candidates based on genuine skills, interests, and contributions for optimal hiring.
8. ai co-founders/business advisors - ai-driven virtual advisors tailored for specific needs such as business strategy, marketing, seo, and financial management.
9. ai as a friend/companion - ai-powered applications designed to address loneliness by acting as virtual friends, girlfriends, teachers, or companions.
10. ai-powered dating apps - platforms where users, especially women, can specify exactly what they’re looking for and initiate conversations with selected matches.
11. ai-driven market research - platforms that utilize ai to gather, analyze, and interpret market data for strategic business decisions.
12. subscription-based market research reports - provide in-depth market research reports and industry analyses on a subscription basis for businesses and investors.
13. high-stakes forecasting platform - saas leveraging ai and simulations for demand forecasting in industries like energy, agriculture, and logistics, reducing operational risks and costs.
14. ai-driven content creation and management - a saas tool that generates, curates, and manages digital content, aiding marketers, publishers, and creators in producing high-quality material efficiently.
15. ai for entertainment - platforms that curate high-quality social media content based on user preferences, enhancing entertainment experiences.
16. ai-driven sales platforms - tools using ai to optimize sales processes, lead scoring, and customer relationship management (crm).
17. ai-driven marketing optimization - a saas platform leveraging ai to autonomously manage and optimize all aspects of digital marketing campaigns, including content creation, real-time performance monitoring, predictive targeting, budget optimization, and multichannel campaign management.
18. traction channel testing app - an ai-powered app that helps businesses test and identify the most effective marketing and growth channels for their products or services.
19. personalized marketing platforms - ai-driven platforms that create individualized marketing strategies based on customer behavior, preferences, and trends.
20. precision marketing for b2b - saas using ai to create highly targeted campaigns for b2b companies based on behavioral data, enabling personalization at scale.
21. ai-driven content personalization for creators - tools that suggest content ideas to creators (videos, blogs, social media) based on audience preferences and behavior to enhance engagement.
22. ai authentic personal brand creator - platforms that help individuals create authentic brands, providing them with tailored content ideas and strategies to build their personal brand.

- nobody cares that your product uses ai.
everyone uses ai now. it's not a differentiator. it's table stakes.
- your biggest risk is building something nobody wants.
ai makes building easier, but customer validation is still hard. skipping it kills startups.
- most ai saas tools are features, not products.
you need a solution to a real problem, not just a cool demo.
- if you can't sell, you're screwed.
the best product almost never wins. the best distribution does.
- building is 20%. getting users is 80%.
coders love building. but saas success is in growth, marketing, and retention.
- churn will silently kill you.
you can get signups, even sales. but if users don’t stick, you’re toast.
- you probably overestimate how much people care about your product.
customers don’t want to “explore” tools. they want solutions that save time or make money now.
- no one wants another dashboard.
users are overwhelmed. if you're building a tool, embed it in their workflow or make it invisible.
- your first 10 customers matter more than your first 1,000 signups.
vanity metrics kill focus. chase feedback and dollars, not upvotes.
- vcs aren’t stupid.
if you’re pitching “ai for x” without data, defensibility, or distribution, they’ve seen 10 of you this week.
- launching on product hunt doesn’t mean shit.
it’s a traffic spike, not traction. it won’t fix a weak product or zero pmf.
- there is no passive saas.
even with ai and automation, you’ll be fighting fires, updating features, and supporting customers.
- your idea is not special.
execution, timing, positioning, and speed matter 100x more.
- your tech stack doesn’t matter to customers.
they care if it works, solves their problem, and is easy to use. that’s it.
- you will underestimate how hard it is to grow.
especially past $10k mrr. every growth stage is a new slog.
- bootstrapping is slower than you think.
it’s also more real. but expect years, not months, to see serious returns.
- copying other successful saas won't work.
what worked 2 years ago doesn’t work now. context has changed.
- you must know your customer better than they know themselves.
if you can’t articulate their pain better than they can, you won’t convert them.
- ai alone doesn’t create lasting value. workflow integration does.
a gpt wrapper is easy. getting it to actually do something useful daily is hard.
- you will want to quit at least once. probably more.
especially when sales are slow, churn is high, or you hit a feature wall. that’s normal. doesn’t mean stop. means fix something.
good luck.

- attending calls on time
- smiling when you greet them
- saying their name
- treating them as important
- following up
- researching them ahead of time
- responding quickly
- listening more than you talk
but make a world of difference.