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60 projects
Pick a deadline. Pay your sentence. Ship the thing. Fail, and you join the Wall of Shame.
@alecjbeckett · X
Building 😅 A place where founders publicly commit to what they’re shipping and when. Miss the deadline? You get shamed. Figured “building in public” could use some consequences 😂
Manage policies and track audit trails for AI-generated user interfaces.
@Wovyr · X
AI-powered retention intelligence for subscription businesses.
@cobraisystem · X
Manual retention can’t keep up with your acquisition - sees the slip, forecasts the churn, and triggers the save that keeps your growth compounding.
Check AI agent outputs and actions against your policies before execution; get allow, block, rewrite, or escalate decisions.
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a
Professional WordPress bug fixing, 24/7 monitoring, cloud backups, and encrypted credential storage. Request a fix or choose a maintenance plan.
@BugShieldWP · X
🚀 Helping businesses keep their WordPress websites secure, maintained and running smoothly. Feedback is always welcome!
Jira plugin for managing test cases, requirements, and execution with traceability.
@pakosteve · X
Improve your SaaS quality when scaling (by register requirements and test via MCP)
Ten recurring problems usually share one root. The One Fix names it: 3 minutes, one fix.
@yashasvishailly · X
Founders, find the one underlying pattern underlying all that noise
Verify AI responses in real-time by auditing with multiple models for reliability.
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon
Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
Analyze landing pages for conversion issues and get ranked fixes with estimated lift.
@JonBuildsHQ · X
My project is A tool for SaaS founders to spot landing page leaks. What are you working on?
Capture in-app recordings and screenshots, then triage feedback with AI to fix bugs faster.
@keshav__dev · X
Hi priyanka i am also building in customer feedback space but with some dev related features. Maybe you want to check
