Productivity3 days ago
AEO Audit Tool - Answer Engine Optimization Analysis | AEOAuditTool.com
Audit your content's performance for AI-powered search engines.
@BayofDomain · X
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Audit your content's performance for AI-powered search engines.
@BayofDomain · X
Compare git, Jujutsu, and GitButler performance on coding tasks with Claude Code and Codex agents.
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler
Browse frequency-ranked app store complaints to find product gaps.
@MihkelSylla · X
Working on and few other smaller projects for myself
Paste a URL to audit an MCP server and get a conformance score with fix recommendations.
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 AI conversations, get an evidence-backed report.
@StilThinkng · X
Tired of repeating the same context across ChatGPT, Claude, and Grok? SoulBots builds a privacy-first memory that grows with you across AI. Looking for early testers.
Free platform for testing, monitoring, and analyzing APIs with real-time insights.
@SajidAbuba74138 · X
A tool for developers
Try a high-performance React data grid component optimized for enterprise use.
@leethatengineer · X
Building LyteNyte Grid
Compare and benchmark SaaS APIs with independent verified data to make informed build-vs-buy decisions.
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs
Monitor Core Web Vitals and measure how slowdowns impact your revenue.
@AuditJet · X
Analyzes agency meeting transcripts to detect scope creep risks and generate alerts.
@theshaunak_twit · X
ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]