
Vibe and Go | Catch Bugs Before Your Users Do
Test your app across devices and browsers to catch bugs automatically in minutes.
@vibe_and_go · X
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Test your app across devices and browsers to catch bugs automatically in minutes.
@vibe_and_go · X

Analyze your codebase to identify where changes introduce risk.
u/jeremyStover · Reddit
My second paying customer bought a full year subscription. I have mentioned https://semfora.ai before, here and there on Reddit. I haven't talked much about what it really provides. I was hoping to drive up some organic traffic, from people that had the motivation to dig past the beta. Stupid idea, but now that we have passed pen tests and hit the minimum requirements check list for security audits, (see other threads about that) we opened up the beta to everyone. Two days after that(

Two AI reviewers analyze your code independently and verify each other's bug findings.
@BotariaDotBot · X
This Tuesday I'm launching Botbugger on @ProductHunt 🚀 One AI reviewer gives you 10 "critical" bugs — half hallucinated. So I built two: Claude Code + Codex review your code independently, then cross-check each other. Real bugs with fixes, not noise.

Auto-fix production bugs and get AI code reviews with severity ratings on every PR.
@akshay_nocode · X
Not exactly — Sentry captures errors, BugOps acts on them. It reads the Sentry alert, checks recent commits, traces root cause, and opens a fix PR. Think Sentry as the sensor, BugOps as the on-call engineer that never sleeps.

Upload datasets to automatically find statistically significant correlations and causal relationships.
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

Run real models against benchmarks in your browser to detect performance regressions before production.
pepperpoppins · HN
Trunchbull, run real models against any benchmark in your browser

Review production agent traces to identify and fix recurring failures.
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at

Inspect and debug AI agents to identify step-by-step where they fail.
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step

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

Scan websites for security vulnerabilities with A–F grades, fix guides, and weekly monitoring alerts.
@korisecurity · X
What we have now: Vibe coding -> Vibe testing -> Vibe marketing -> Vibe users -> Vibe subscriptions. You may do all but don't Vibe Secure! Scan for those open ports, missing DKIMs or CVEs. Use a professional tool

Compare how different AI models generate frontend code and view accessibility scores.
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •

Autonomous agents that test web and mobile apps to discover flows, find bugs, and replay scenarios.
@AbdullahYusufY · X
Here is ours We are developing autonomous QA agents feel free to check it out.