Developer Tools1 week ago
Agentagon - Find the failures customers already feel
Review production agent traces to identify and fix recurring failures.
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at
The full gallery
Tech stack
60 projects
Review production agent traces to identify and fix recurring failures.
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at
Clean and standardize CSV files by fixing formatting inconsistencies, duplicates, and encoding errors.
@cleanmycsv_app · X
hi alisha, just shipped to fix corrupted utf-8, missing zeros and bad formatting before importing to crms. building in public now 🚀 let’s connect!
Manage overdue invoices with a dashboard, case queue, reminders, and customer payment portal.
@dmytroships · X
Track AI agent conversations to identify failure points and test better prompts.
sailrock · HN
Greenflash – we read every conversation your AI agent has with users
Track user events and understand behavior to ship products faster.
@kitbasedev · X
We just launched, check us out at
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation
Embeddable AI chat widget that answers customer support questions using your documentation with cited sources.
@dhruvkumar1805 · X
Retries failed Stripe charges and recovers subscriptions with automated dunning sequences.
@Holdfast_app · X
Convert OpenAPI specs and databases into MCP tools without coding.
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers
AI-powered platform that analyzes Reddit and GitHub discussions to generate customer insights for product decisions.
@Tweet2Tusharr · X
hey everyone 👋 we've been working on something over the last few weeks around customer research. we'd genuinely love if you could spend 5 minutes trying it and tell us what we're getting wrong.
Connect your Postgres or Supabase database and receive AI-powered alerts when your data drifts
@franciscobuilds · X
1. Building Tabkeel, an AI-powered analytics platform for SaaS products 2. For founders and teams who want to actually understand and act on their data 3.
@suni_code Here it is: https://t.co/FJRlXNARp2 Definitely appreciating feedbacks
@sykatt01 · X
Here it is: Definitely appreciating feedbacks