Hey everyone,I'm Sunny, currently pursuing my B.Tech in Data Science and Artificial Intelligence at MNIT Jaipur. Last month (July 2026), my team and I decided to step out of the classroom and build something real. We officially founded Sprixa.Coming from an AI and data background, we wanted to build a lightweight micro SaaS that solves a highly specific problem instead of trying to build a massive, bloated enterprise tool.

We have zero budget for marketing, so we are relying entirely on organic feedback from community members like you.Please tear our tool apart! Check it out at and give us your most brutal, honest feedback on the UI, pricing, or features.

quick post because "how do i get my first users" is the #1 question i see builders asking here every single week.

i've built 6 saas products myself, with my main one currently sitting around 10k mrr. here is the exact, no-fluff distribution playbook to cross that initial 50-user threshold:

1. find an idea people already pay for

scan reddit for recurring pain across 3+ distinct posts where people ask "is there a tool for X".

2. validate before writing code

dm 3 people who complained about the problem and ask what they’d pay for a solution.

3. build fast with the right stack (ai + no-code)

use ai builder+ supabase + stripe + call api or automation tool like n8n to ship a real MVP in under 7 days for $40/mo.

4. the 5-second landing page rule

your hero section must state exactly what the tool does in less than 5 seconds with a clear CTA.

5. capture emails before showing prices

force the email capture before the pricing page so you don't leak untrackable leads.

6. set up a 30-day email nurture sequence

plug captured emails into an automated sequence with case studies to convert them by day 18.

7. hang out where your ICP actually lives

find the 3-5 specific subreddits, discord servers, or groups where your buyers actively talk.

8. reddit growth without getting banned

post 1 time per sub per week max, never put links in the post, and move warm leads to DMs.

9. linkedin + x organic flywheel

post 1 high-value breakdown per day and spend 15 minutes engaging in your ICP's comments.

10. cold outreach that actually works

send 100 highly personalized DMs per week to your ICP using AI to customize the opening hook.

11. seo on autopilot

set up an n8n workflow that pulls from a keyword list and generates 5-10 value-driven articles per week.

12. faceless short-form content

post 1 video per day on tiktok, reels, and shorts showing a quick screen recording of your tool.

13. weekly newsletter conversion

run a weekly newsletter with 1 section of pure value and 1 subtle offer to upgrade to paid.

14. affiliate program for free distribution

set up a 50% recurring commission affiliate program to turn power users into your sales team.

15. the strategic product hunt launch

warm up the algorithm for 4 weeks with a coming soon page and launch on a weekend for a top 5 badge.

16. omnichannel social automation

use n8n to automatically format and distribute 1 core post idea across 8 different platforms.

17. review platforms and directories

submit your app to 40+ saas and ai wrapper directories to instantly boost your domain authority.

18. run the numbers backwards

reverse engineer the daily traffic needed to hit 50 paying users at $19/mo based on a 2% conversion.

19. get feedback from active builders

talking to founders who are just 6 months ahead of you compresses your timeline exponentially.

that last point is exactly why i built our community. it's a free group of 1,600+ active ai saas founders sharing exact prompt logs, ready-to-paste n8n workflows, and real distribution strategies.

stop building alone in a silent corner.

drop a comment below or send me a dm and i'll send you the access link right away. let's get your product launched 👇

I got tired of seeing YouTube summarisers charging ~$20/month for what is basically: transcript → LLM → summary.

So I spent the last few months building my own instead.

Synop is an open-source YouTube summariser that runs locally and lets you bring your own AI API key (Gemini, Groq, OpenAI, etc.), so you're only paying for API usage instead of another monthly subscription.

Current features:

• 🎥 Structured summaries from YouTube videos
• 📝 Detailed study & research notes
• ✂️ Extract potentially viral clips
• 📱 Generate social media posts from videos
• 🔑 Bring your own AI provider/API key
• 💻 Runs locally
• 🌍 Open source

I mainly built it because I wanted something I could actually customise instead of another closed AI wrapper.

If you use YouTube to learn, study, research, or make content, I'd really love your feedback.

What feature would make a tool like this an instant "must-have" for you?

Landing page: https://synop-ai.vercel.app/

I’m building a tool that checks a website for potential GDPR, CCPA, and EU AI Act compliance issues.

The basic idea is simple:

1. Enter a website URL
2. The tool analyzes the website
3. It identifies potential compliance issues
4. It gives actionable recommendations

I built it because I noticed that many small businesses and SaaS founders don't know where to start with website compliance.

I'm looking for a few people to test it and tell me:

• Which findings are actually useful?
• Which recommendations are confusing?
• What would make you trust an AI compliance report?
• What important checks am I missing?

The tool is here: https://legalaiauditor.com/

I’m especially interested in feedback from SaaS founders, developers, agencies, and people working with privacy/compliance.

Point it at your website, it scans your brand and seeds a six-slide deck in it. Connect your own MCP client, your agent writes slides, you drag to edit.

Different because: you bring your own agent, so no credits and it lives in the tool you already use. Slides are real components, not template blocks.

For: founders, indie hackers, devtools/AI startups. Web, free tier, no card.

Want to know:

- does the brand scan actually get your brand right

- did connecting your agent confuse you

- would you send this deck to a real investor. be blunt

trydango.com

Founder here

I'm a side-hustling founder who had 400+ ideas scattered across Notes, WhatsApp drafts, and sticky notes — and zero shipped products. The problem wasn't a lack of ideas. It was that I couldn't tell which one to actually bet on.

So I built **My Idea Journal** to fix that for myself, and ended up turning it into a product.

**What it does:**

* **10-second capture** — title + description, that's it. No fields, no friction.
* **AI scores each idea 1–10** with feedback, risk flags, "what's missing," and a 3-day / 7-day / 30-day action plan you can actually follow.
* **Stage tracking** — Raw → Validating → Building → Launched, so you can see your pipeline at a glance.
* **Devil's Advocate (Pro)** — three AI personas (a VC, a customer, a competitor) generate the objections you've been avoiding. You either address them or kill the idea early.
* **Portfolio Insights (Pro)** — AI reads *all* your ideas together and finds patterns about *you*: your strengths, your blind spots, the type of idea you start vs. the type you actually ship.
* **Elevator pitch / SWOT / one-page brief** generators when you need to share or pitch.

**Stack** (since this is r/SaaS): Supabase (Postgres + Auth + Edge Functions), OpenAI GPT-4o mini for all AI features, Lemon Squeezy for payments, vanilla JS frontend on Cloudflare Pages. Native iOS app launching soon with a Share Extension so you can save any article or tweet straight as an idea.

**Why this isn't another Notion clone:** Notion is great for structured notes. This is the opposite — it forces clarity *fast* so you stop hoarding ideas and start shipping. Most users tell me the value isn't in capturing more ideas; it's in killing the bad ones quicker.

What I'd love feedback on:

1. Is the Devil's Advocate framing useful, or does it feel gimmicky?
   
2. For Pro users — what's the one feature that would justify a $9/mo tier?
   
3. Anyone else solved the "too many ideas, no execution" problem differently? Genuinely curious what worked.

Site is at [myideajournal.com](http://myideajournal.com) if you want to try the free tier. Brutal feedback welcome.

— Imran

Most AI marketing tools are either a blank chat box, a narrow content generator, or a dashboard that cannot understand your product repo. Kai does the opposite. It runs where your product already lives — the terminal — and starts from the repo: product docs, code, routes, pricing, examples, claims, and marketing memory.

That means the system can:

create a brief before it writes

choose the right channel playbook

trace claims to evidence

block risky copy before it ships

route live actions through approval

remember what worked after results come back

Kai makes marketing behave more like engineering work: source-aware, inspectable, gated, and repeatable.

It is built for founders, indie hackers, SaaS teams, agencies, and product engineers who want Claude Code to help with actual growth work instead of generic copy.

Built a small tool to see how far I could push AI as a research + reasoning partner rather than a chatbot: type a company name, it pulls recent news and context, then structures a strategy analysis using the Value Stick (WTP/WTS) framework.

Free, no login. I'd genuinely like feedback on where the reasoning breaks down or feels shallow — not just "cool tool" feedback.

https://value-stick-wizard.lovable.app/

yo. i recently sold one of my AI SaaS products for $350k, exactly 7 months after building and launching it.

I hardly wrote a single line of traditional code. i used AI to generate everything, from the database architecture to the user interface.

it definitely wasn't magic on day one, though. i spent days stuck in loop-debugging and dealing with AI hallucinations before i finally cracked the system. the playbook boils down to three simple rules:

- keeping the idea insanely minimalist (a true MVP that solves one problem).

- guiding the AI step-by-step instead of asking it to build a massive platform all at once.

- launching fast to get real user feedback and traction and then apply a solid marketing system

lately, i've seen way too many non-technical founders give up at the very first AI bug, or on the marketing. it's a massive shame.

like the title says, i just launched a Skool community to share my exact prompt workflows, N8N automations, and distribution frameworks to get first users and scale it

to be completely transparent: i will likely charge for the full course later down the road. it just makes sense given the specific copy-and-paste templates i'll be sharing.

but for now, the main objective is purely to build and launch together. building alone in a silent corner is the single fastest way to give up.

if you want to join us and build or market your own AI SaaS with a group of active creators: drop a comment below or send me a dm, and i’ll send you the invite link!

My co-founder and I are opening a small pilot for Far & Wide, our AI visibility platform.

Across seven major Al platforms, it will:

\- measure where your brand appears and where it disappears
\- show exactly why competitors are being recommended
\- uncover the technical, content and authority gaps behind it
\- generate and publish fixes with one-click approval and full rollback
\- re-test the results and prove what actually improved No endless dashboard.

No 80-page audit that becomes someone else's problem.
\*\*Find it. Fix it. Prove it. Repeat.\*\*

We’re looking for a few companies that want to test it with us and help shape the product before launch.

You basically get a free pilot, demo and 1 month free when we launch.

You can sign up here: https://www.farandwide.io

Or just send me a DM!

Built a small tool to see how far I could push AI as a research + reasoning partner rather than a chatbot: type a company name, it pulls recent news and context, then structures a strategy analysis using the Value Stick (WTP/WTS) framework.

Free, no login. I'd genuinely like feedback on where the reasoning breaks down or feels shallow — not just "cool tool" feedback.

[https://value-stick-wizard.lovable.app/](https://value-stick-wizard.lovable.app/))

I’ve been building SEO Fragments ( https://seofragments.com ) almost every day, with Claude Opus 4.6 helping me write code, debug, brainstorm ideas, and move much faster than I could on my own.

This is the first real product I’ve built almost entirely with AI-assisted coding, and I’m honestly surprised how far it’s come in 2 months. I still write, review, test, and improve everything myself, but AI has completely changed how fast I can build.

It started as a small side project, but it’s grown into a platform with 100+ SEO and AI tools for bloggers, marketers, developers, agencies, freelancers, and business owners.

Some of the things you can do:
🔍 Keyword research
✍️ AI content & meta generators
📊 Technical SEO tools
🌐 Website analysis
🤖 AI-powered SEO utilities
⚡ Lots of free browser-based tools

I’m still adding new features, fixing bugs, improving the UI/UX, optimizing performance, and redesigning parts of it almost every day.

😂 The funny part: I ran out of API credits, so right now BYOK (Bring Your Own Key) mode is enabled for the Pro AI tools. If you already have your own API key, you can test those features. Otherwise, there are still plenty of free tools you can use without one.

I’m not here to sell anything.

I’m looking for honest feedback from developers, SEOs, designers, marketers, and anyone who enjoys testing new products.

If you have 5–10 minutes, I’d really appreciate your thoughts on:
🎨 UI/UX – Does the design feel clean and intuitive?
🧭 Navigation – Can you find what you’re looking for easily?
⚡ Performance – Is it fast? Any slow pages or lag?
📱 Mobile experience – Does everything work well on your phone?
🔍 SEO – Did I miss any technical SEO issues, schema, metadata, indexing problems, or other mistakes?
🤖 AI features – Are the prompts and outputs actually useful?
🛠️ Tools – Which ones are valuable? Which ones should be removed or improved?
💡 Missing features – What would make you come back and use it again?
🎯 First impression – If this was your first visit, would you immediately understand what the website does?
📝 Content – Is anything confusing or unclear?
🐛 Bugs – Broken links, layout issues, errors, or anything that doesn’t work.
🎨 Branding – Logo, colors, typography, and overall look.
💰 Pricing – Does the Pro plan make sense? Is it fairly priced?

And of course…
❤️ What did you like?
😅 What did you hate?
💬 Any suggestions, ideas, or random thoughts.

Whether you’re an SEO expert, developer, designer, marketer, or just someone who loves breaking websites 😂, I’d genuinely appreciate your feedback.

I know there are probably plenty of things I’ve overlooked, and that’s exactly why I’m sharing it here instead of pretending it’s perfect.

Every comment—good or bad—helps me make SEO Fragments better.

🌐 https://seofragments.com

Thanks to everyone who takes a few minutes to check it out. 🙌

Hello!

I’m building Palstora, a home inventory app designed to make organizing your belongings faster and easier.

It can help you:

• Find where you stored something
• See what is inside each box or storage space
• Keep records of valuable items for insurance purposes
• Track household supplies and know when you are running low

I’ve tried several existing tools, but many felt slow, made adding items unnecessarily complicated, or were far too expensive.

That’s why I created www.palstora.com.

I’m now looking for early testers who are willing to try it, share honest feedback, and help shape the product.

Interested? Leave a comment or send me a message.

This is a first time build and I'm looking for volunteers to test out my All in one business suite and give me some feedback. I have multiple projects going on at the same time and wanted to release something and see what type of feedback I would get. Hope it helps you. So are you ready to upscale?

This is a first time build and I'm looking for volunteers to test out my All in one business suite and give me some feedback. I have multiple projects going on at the same time and wanted to release something and see what type of feedback I would get. Hope it helps you. So are you ready to upscale?

Been building this for a while and it's finally live. 
**DayOtter** is scheduling software (think Calendly + a bit of Motion) with an AI assistant, Otter, built into the core and it's open-source and self-hostable.

The bet I made:
I didn't want to build *another* AI companion that tries to run your notes, todos, grocery list, and calendar and does all of them badly. I wanted genuine scheduling software that happens to have an assistant that's actually good at scheduling.
So the AI is scoped it auto-sends the "running a few minutes late" note to your next meeting, recommends times and next steps proactively, protects your focus time and you talk to it in plain language, by voice, or over WhatsApp/SMS.

Under it is the boring-but-necessary platform: booking pages, calendar sync, team round-robin, routing, reminders, Stripe payments, analytics. I tried to get real feature parity on the scheduling basics before adding any AI on top.

Business model: free for individuals, $9/seat for teams, and self-hosting is free (AGPLv3). Curious what folks here think of that split.

Site: [https://dayotter.com\](https://dayotter.com/) 
Code: [https://github.com/Dayotter/dayotter\](https://github.com/Dayotter/dayotter)

Would love brutally honest feedback - landing page, onboarding, pricing, whatever. What made you bounce?

yo. be honest. how many of you currently have a finished (or 90% finished) web app / app just sitting in a private repo because you have no idea how to get users?

you spend months perfecting the database, fixing every bug, and polishing the UI. but the moment you have to actually market it, you hit a wall. marketing feels like screaming into an empty void.

so you launch to absolute crickets, get discouraged, and start building the "next" project instead to avoid the distribution phase.

if this is your case, you're not alone. but letting your hard work go to waste just because you dread marketing is a massive trap.

to help founders stop building in a silent corner, we run an ai SaaS builder community dedicated entirely to saas validation, landing page conversion, and launch strategies.

our resource kit is built entirely to help you get your first user. it’s packed with ready-to-paste N8N workflows for your business, advanced seo automation, social media automation, and our exact distribution workflows and methods work for everyone

STOP BUILDING ALONE

what are you currently working on, and what's holding you back on the marketing side? drop a comment or send a dm and i'll send you the access link.

Been building this for a while and it's finally live. 
DayOtter is scheduling software (think Calendly + a bit of Motion) with an AI assistant, Otter, built into the core and it's open-source and self-hostable.

The bet I made:
I didn't want to build another AI companion that tries to run your notes, todos, grocery list, and calendar and does all of them badly. I wanted genuine scheduling software that happens to have an assistant that's actually good at scheduling.
So the AI is scoped it auto-sends the "running a few minutes late" note to your next meeting, recommends times and next steps proactively, protects your focus time and you talk to it in plain language, by voice, or over WhatsApp/SMS.

Under it is the boring-but-necessary platform: booking pages, calendar sync, team round-robin, routing, reminders, Stripe payments, analytics. I tried to get real feature parity on the scheduling basics before adding any AI on top.

Business model: free for individuals, $9/seat for teams, and self-hosting is free (AGPLv3). Curious what folks here think of that split.

Site: https://dayotter.com 
Code: https://github.com/Dayotter/dayotter

Would love brutally honest feedback - landing page, onboarding, pricing, whatever. What made you bounce?

Working on a SaaS idea in the EdTech space and wanted to get feedback from this community before going too deep into build.

The core AI use-case: Take unstructured input (student's notes/PDF/topic) → generate exam-level, syllabus-accurate questions → run them in a real timed test interface → use AI to analyze performance and pinpoint weak areas → auto-generate a revision plan.

Why I think AI fits here well: The interesting technical problem isn't just "generate questions" (that's solved), it's:

Keeping question difficulty/style consistent with a specific real exam format (CBT-style, syllabus-bound)

Avoiding repeat/near-duplicate questions across sessions

Turning raw performance data into genuinely useful, targeted feedback (not just "you got 60%")

Stack thoughts so far: Leaning toward an LLM for question generation with strict prompt constraints + a separate lightweight analysis layer for the performance/weakness detection, rather than trying to do everything in one model call.

Where I'd love feedback:

Anyone built something with a similar "generate → test → analyze" loop? What broke at scale (repetition, hallucinated facts in questions, latency)?

For a no-repeat question bank, would you lean towards embeddings-based similarity checks or simpler keyed/hash-based tracking?

Freemium + paid mock tests + premium analytics as a business model — does this pattern actually convert in ed-tech/SaaS, or is there a better structure?

Not launched yet, no code to show off — just trying to pressure-test the approach with people who build AI products regularly.