The full gallery
Tech stack
21 projects
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
Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models
Speech to text dictation and multi-engine speed benchmarking. Compare OpenAI GPT-Transcribe, Deepgram Nova-3, NVIDIA Parakeet, and Fish Audio with local IndexedDB privacy.
@alvaisy · X
finished voice to text small web app for my own itch. it's opensource. use openrotuer key. and use it with 4 models.
AI voice agent that answers missed calls, books jobs, and tracks revenue.
@Jithendhar40266 · X
Ai voice agents that books calls
Check how well AI agents understand your website with an automatic readability score.
tommy2970 · HN
Lagotto Meter – how well do AI agents understand your website?
Route LLM API traffic through a gateway with built-in cost tracking, latency analytics, and PII redaction.
charltonraven · HN
RavenGate – LLM gateway that redacts PII across SSE chunk boundaries
Conduct one-way video interviews asynchronously with AI-based scoring for hiring decisions.
emunova · HN
OneWayInterview – type a job role, AI builds the async video interview
Route AI API calls to different models based on budget, stability, or performance needs.
@RunPei83973 · X
Claude Code users: Did you know API routing can significantly reduce AI costs? We built VIAPI to test different AI routes: Budget → lower cost Stable → production Pro → high availability
A calculator and data manager for LORT game statistics and analysis.
LORT Calculator — Stream 游戏 LORT 工具网站
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. •
Deploy your own secure, production-ready n8n instance in minutes with built-in 24/7 monitoring, email alerts, SSL, custom domains, and backups. Free 1-week trial.
@cuebicai · X
Task queue for AI coding agents to request and complete work over MCP protocol.
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
