AI Agents1 week ago
Rerun | Run agents you can actually watch work
Build and visualize AI agents executing live on an interactive dashboard.
@Aurelsuuu · X
this is my product, come take a look:
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Build and visualize AI agents executing live on an interactive dashboard.
@Aurelsuuu · X
this is my product, come take a look:
Track newly launched ecommerce and service businesses with AI-powered outreach automation.
@FisherLeadsco · X
If you’re an agency, web designer, marketer, or SEO, this is your unfair advantage. FisherLeads shows you businesses the second they launch, before anyone else finds them. Fresh ecommerce stores and service businesses, every day. Reach them first.
Track trending AI/ML repositories on GitHub with real-time alerts and commit analytics.
@g_saikumar_ · X
Real-time GitHub intelligence for developers, founders, and open-source enthusiasts.
Scan any website to show what AI assistants see when crawling it.
builderwrench · HN
Show HN: Free tool that shows what AI assistants see when they crawl your site
Trace, replay, and verify AI agent decisions with signed audit trails for debugging.
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
Monitor AI costs by feature, forecast spending, and set guardrails for your team.
@eastbase_studio · X
Compare AI coding models on real tasks with live previews, cost tracking, and ELO rankings.
@intheworldofai · X
On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.
Run a free SEO audit and track your visibility in Google and AI search engines.
@Sathibuilds
Analyze NFL games with devigged odds, line movements, and ten years of backtested market intelligence.
u/sebriz · Reddit
I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market
AI operating system for founders that turns strategic thinking into tracked execution.
@AshiveCompany · 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 AI model calls, agent steps, and retrieval with token tracking, cost analysis, and latency metrics.
ephraimduncan · HN
Observability for Coding Agents and LLM Applications