u/Ill-Assistant-2071

Most developers can build products now.

Very few can distribute them.

I’ve seen so many indie hackers ship solid AI tools and get 0 users because:

- they hate marketing

- don’t know where to post

- never launch properly

- stop after tweeting twice

So I’m building LaunchFast AI (name might change).

You connect:

- GitHub repo

- landing page

- or Figma link

The AI analyzes your product and automatically:

- submits it to AI directories & launch platforms

- generates technical Twitter/LinkedIn posts that sound human

- monitors Reddit/HN for relevant conversations

- drafts comments/posts to help get early users

- creates a 30-day launch/distribution plan

The goal is simple:

“Help solo founders get their first 100 users without becoming full-time marketers.”

Still early MVP stage.

Would love feedback:

- Would you use this?

- What feature would make this genuinely useful?

- What would stop you from paying for it?

​

I’m building an AI tool that launches and markets your SaaS automatically

Very few can distribute them.

I’ve seen so many indie hackers ship solid AI tools and get 0 users because:

- they hate marketing

- don’t know where to post

- never launch properly

- stop after tweeting twice

So I’m building LaunchFast AI (name might change).

You connect:

- GitHub repo

- landing page

- or Figma link

The AI analyzes your product and automatically:

- submits it to AI directories & launch platforms

- generates technical Twitter/LinkedIn posts that sound human

- monitors Reddit/HN for relevant conversations

- drafts comments/posts to help get early users

- creates a 30-day launch/distribution plan

The goal is simple:

“Help solo founders get their first 100 users without becoming full-time marketers.”

Still early MVP stage.

Most developers can build products now.

Very few can distribute them.

I’ve seen so many indie hackers ship solid AI tools and get 0 users because:

- they hate marketing

- don’t know where to post

- never launch properly

- stop after tweeting twice

So I’m building LaunchFast AI (name might change).

You connect:

- GitHub repo

- landing page

- or Figma link

The AI analyzes your product and automatically:

- submits it to AI directories & launch platforms

- generates technical Twitter/LinkedIn posts that sound human

- monitors Reddit/HN for relevant conversations

- drafts comments/posts to help get early users

- creates a 30-day launch/distribution plan

The goal is simple:

“Help solo founders get their first 100 users without becoming full-time marketers.”

Still early MVP stage.

Would love feedback:

- Would you use this?

- What feature would make this genuinely useful?

- What would stop you from paying for it?

It scans AI-generated code for security holes exposed API keys, missing auth, SQL injection the stuff Cursor and Bolt quietly introduce and never mention.

Built it because I kept shipping vulnerable apps and only finding out the embarrassing way. Figured I wasn't the only one.

It's free to try. No signup needed. Just drop your repo and get a report in 30 seconds.

Would love feedback from anyone who's shipped something with AI and wondered if it was actually safe.

[ Removed by Reddit on account of violating the content policy. ]

It scans AI-generated code for security holes exposed API keys, missing auth, SQL injection the stuff Cursor and Bolt quietly introduce and never mention.

Built it because I kept shipping vulnerable apps and only finding out the embarrassing way. Figured I wasn't the only one.

It's free to try. No signup needed. Just drop your repo and get a report in 30 seconds.

Would love feedback from anyone who's shipped something with AI and wondered if it was actually safe.

[ Removed by Reddit on account of violating the content policy. ]

[ Removed by Reddit on account of violating the content policy. ]

[ Removed by Reddit on account of violating the content policy. ]

[ Removed by Reddit on account of violating the content policy. ]

[ Removed by Reddit on account of violating the content policy. ]

Hey everyone,

I’ve been building in public for a while, and like many of you, I fell into the "star trap."

My latest repo hit 1k stars in a month. I was hyped—until I realized I had no idea who these people were. Was it a student from a bootcamp, or the CTO of a Series B startup looking for a solution?

I spent 2 weeks manually checking profiles, LinkedIn, and commit histories. It was a nightmare.

So I built Sentinel.

It’s an AI Technical GTM Agent. It doesn't just "scrape" leads. It acts like a Junior Sales Engineer:

Intent Scoring:

It reads the lead’s recent PRs and issues. If they’re asking deep architectural questions, it flags them as a high-intent enterprise lead.

Technical Dossiers: It tells me:

"This guy works at Stripe, he's currently struggling with X, and our tool solves exactly that."

Autonomous Outreach:

It drafts a technical pitch based on their own code. No more "Hey, check out my tool." Instead, it's "I saw your PR on [Repo], here's how we can optimize that."

My reply rate went from a pathetic 2% to nearly 35% because the outreach is actually technical and helpful, not spammy.

I’m looking for 10 founders/devs who have a growing GitHub repo and want to actually turn those stars into revenue.

Hey everyone,

I’ve been building in public for a while, and like many of you, I fell into the "star trap."

My latest repo hit 1k stars in a month. I was hyped—until I realized I had no idea who these people were. Was it a student from a bootcamp, or the CTO of a Series B startup looking for a solution?

I spent 2 weeks manually checking profiles, LinkedIn, and commit histories. It was a nightmare.

So I built Sentinel.

It’s an AI Technical GTM Agent. It doesn't just "scrape" leads. It acts like a Junior Sales Engineer:

Intent Scoring:

It reads the lead’s recent PRs and issues. If they’re asking deep architectural questions, it flags them as a high-intent enterprise lead.

Technical Dossiers: It tells me:

"This guy works at Stripe, he's currently struggling with X, and our tool solves exactly that."

Autonomous Outreach:

It drafts a technical pitch based on their own code. No more "Hey, check out my tool." Instead, it's "I saw your PR on [Repo], here's how we can optimize that."

My reply rate went from a pathetic 2% to nearly 35% because the outreach is actually technical and helpful, not spammy.

I’m looking for 10 founders/devs who have a growing GitHub repo and want to actually turn those stars into revenue.

I’ve been building an AI Technical Support Engineer focused on developer/API companies.

The idea is simple: instead of a basic chatbot, this acts more like an actual support engineer for technical teams.

It can:

answer technical/API questions

read docs + GitHub repos

help debug integration issues

generate code examples/snippets

search internal knowledge

help support teams reduce repetitive tickets

work inside Slack/Discord/support inboxes

Mainly thinking this could help:

AI startups

API companies

devtools

B2B SaaS founders

solo founders getting overwhelmed with support

engineering/support teams

Trying to figure out where the biggest pain actually is right now.

Who here would genuinely use something like this?

What would make it actually valuable instead of “just another AI support bot”?

I’m building an AI Internal Knowledge Base focused on helping teams instantly find answers across their company knowledge in plain English.

Not just document search.

More like an AI teammate that understands:

codebases

PR discussions

technical decisions

internal docs

incidents

workflows

team memory

Questions like:

“Why was this architecture chosen?”

“Where is the deployment process?”

“Who worked on this service before?”

“Has this issue happened earlier?”

“What breaks if we change this?”

The goal is simple: turn scattered company knowledge into a searchable AI brain.

Curious:

Who here actually struggles with this daily?

What’s the biggest pain in your current workflow?

What tools are you using now?

Would love real feedback from engineers, founders, DevOps, and technical teams.

Hey everyone,

I’m excited to share that I’m officially launching an AI-powered GitHub Activity Lead Signal Tool built to turn GitHub activity into real startup and engineering intelligence.

The idea came from noticing that many of the best startups, engineers, and open-source projects show momentum on GitHub long before they become widely known.

The platform analyzes signals like:

commit velocity

contributor growth

repository momentum

open-source traction

engineering activity patterns

development consistency

and converts them into actionable lead signals.

The goal is to help:

investors discover emerging startups earlier

accelerators find high-signal technical founders

recruiters identify strong engineering talent

founders track fast-growing projects and competitors

developers discover trending OSS ecosystems

Current features include:

AI-generated startup/project summaries

engineering momentum tracking

trending repository detection

GitHub activity insights

lead signal dashboards

startup watchlists

This is still early, but I’m building it aggressively and sharing the journey publicly.

Would genuinely love feedback from the community:

What features would make this most useful?

What GitHub signals matter most to you?

Would you use something like this?

Appreciate any thoughts, suggestions, or criticism. 🚀

Hey everyone,

I’m excited to share that I’m officially launching an AI-powered GitHub Activity Lead Signal Tool built to turn GitHub activity into real startup and engineering intelligence.

The idea came from noticing that many of the best startups, engineers, and open-source projects show momentum on GitHub long before they become widely known.

The platform analyzes signals like:

commit velocity

contributor growth

repository momentum

open-source traction

engineering activity patterns

development consistency

and converts them into actionable lead signals.

The goal is to help:

investors discover emerging startups earlier

accelerators find high-signal technical founders

recruiters identify strong engineering talent

founders track fast-growing projects and competitors

developers discover trending OSS ecosystems

Current features include:

AI-generated startup/project summaries

engineering momentum tracking

trending repository detection

GitHub activity insights

lead signal dashboards

startup watchlists

This is still early, but I’m building it aggressively and sharing the journey publicly.

Would genuinely love feedback from the community:

What features would make this most useful?

What GitHub signals matter most to you?

Would you use something like this?

Appreciate any thoughts, suggestions, or criticism. 🚀

Hey everyone,

I’ve been building a small tool that tracks GitHub activity and turns it into lead signals for founders, AI startups, agencies, and devtool companies.

The idea is simple instead of manually searching GitHub, Reddit, LinkedIn, and communities for potential users, the tool finds signals automatically.

It can track things like:

repos becoming active recently

developers discussing problems in issues/PRs

companies adopting certain stacks

fast-growing open source projects

engineers actively contributing in specific niches

hiring/activity around technologies

Basically helping technical products find warm outbound leads earlier.

Still early-stage, but I’m launching it now and looking for feedback + early users.

Would love to know:

Would you use something like this?

What GitHub signals would actually be valuable?

What’s your current way of finding developer leads?

Happy to share more details if anyone’s interested.

Hey everyone,

I’ve been working on something for a while and finally decided to launch it.

It’s an AI internal knowledge base designed to solve a simple but painful problem:

Teams have information everywhere (docs, Slack, PDFs, Notion, code, etc.), but finding the right answer is still slow and frustrating.

So I built a system where you can:

- Ask questions in plain English and get instant, accurate answers

- Connect your internal docs, databases, and tools

- Avoid digging through 10 different platforms

- Get context-aware responses (not generic AI replies)

The goal is simple:

Turn scattered company knowledge into something you can actually use instantly.

I’m not trying to build another “chatbot wrapper.”

This is more focused on real internal use—support teams, founders, devs, ops.

Right now I’m looking for:

- Early users

- Feedback (what’s useful / what’s not)

- Real problems you want solved

If you’re interested, comment or DM me—I’ll onboard a few people personally.

Would also love honest feedback from this community 🙌