The full gallery
Tech stack
24 projects
Measure and optimize your visibility in AI systems like ChatGPT, Claude, Gemini, and Perplexity.
martin_nymann_geoa · Product Hunt
Geoa Get found when your customers ask AI — automatically
Control what AI bots and crawlers can see and access on your website from the edge.
@IchMag17 · X
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
Monitor and discover AI API relay services with curated recommendations and exclusive gateway access.
yaojingang · GitHub
TokHub AI API 中转站监控、推荐运营与 OpenAI 兼容专属网关系统，支持分层探测、健康评分、用量计量、告警审计和 Docker 自托管。
Run free SEO audits and track your visibility across Google and AI search engines.
@Sathibuilds
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
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. •
Generate AI attention heatmaps showing where visitors look on any page.
u/ForceKind6013 · Reddit
First paying customers on my attention heatmap SaaS. Now be brutal, what would make YOU churn? Heatpoints predicts where human eyes will look on any URL, design or video, before it has any traffic. Heatmap, score /100, AI audit, live mode where the map re-renders while you scroll the actual site. Think Attention Insight but with a permanent free plan, no watermark on paid, and white label at 59€ instead of 299€+. Current state: launched recently, steady free usage, a handful of paying cus
Visualize and deploy AI-generated backend code as a verifiable logic layer you can understand and own.
@SpalaAi · X
Design, validate, and compare AI agent deployments with governance controls.
@paulrodturner · X
Build AI agents and watch them execute live on an interactive visualization dashboard.
@Aurelsuuu · X
this is my product, come take a look:
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
