Developer Tools1 month ago
Mirrors - Test AI Agents Against a Mirror of Production
Test AI agents against production mirrors using replayed traces to find bugs and regressions.
aisinghal
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Test AI agents against production mirrors using replayed traces to find bugs and regressions.
aisinghal
Deploy serverless AI models with a single line of code at competitive rates.
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替)，Synexa 是运行无服务器 AI API 最具性价比的解决方案，提供业界最具竞争力的 A100 GPU 价格，相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47
Practice debates with real-time AI judging and performance feedback.
@prof_safezone · X
Gambling on debate rounds with AI judges.
Run multiple AI models side by side using your existing API subscriptions.
@ContinuumCode · X
Run AI-assisted scans on your AI-built product before launching.
shahzar_shad · Product Hunt
Launchieve Launch your AI-built product with fewer surprises
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
AI-powered Wisdom Twin assistant helps preserve institutional knowledge and judgment for enterprise employees.
@romanbodnarchuk · X
Check out what I just built with Lovable!
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.
Compare how many AI tasks an hour of work buys across countries, models, reasoning efforts, and benchmark costs per task.
danr4 · HN
Wage Against the Machine – MacWages Index for AI Tasks
Read curated AI news, insights, and trends summarized daily.
@fastcortex_ai · X
The one place to stay informed on AI without the noise
Query spreadsheets and datasets with plain-English questions to generate instant answers and reports.
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav
Aggregate and view context-rich briefs from your AI agents.
flysonic10 · HN
Meltbox – where your agents send you briefs