Finance & Business1 week ago
Pythia — Ask the Oracle
Ask an AI oracle for cross-sector market signals, trends, and intelligence.
@PythiaAIOracle · X
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Tech stack
22 projects
Ask an AI oracle for cross-sector market signals, trends, and intelligence.
@PythiaAIOracle · X
Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents
Upload contracts for instant AI-powered risk analysis or generate tech agreements.
@BayofDomain · X
Paste two AI agent versions to compare governance and permission changes.
stoicstoic · HN
Show HN: Diff two versions of an AI agent and catch silent permission changes
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.
Scan websites for AI usage and test chatbots for bias and safety with this open-source EU AI Act compliance toolkit.
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff
Retries failed Stripe charges and recovers subscriptions with automated dunning sequences.
@Holdfast_app · X
Audit your AI app for security, privacy, and governance readiness.
u/Budget_Lawfulness_33 · Reddit
I made a tool that bridges the gap between vibe coding and actually knowing what you shipped A lot of people are shipping things they don’t fully understand anymore. With the new flagship models such Claude/Codex and people spending hundreds on AI subscriptions to build faster, apps are being shipped quicker than ever. But when you’re constantly throwing prompts at AI, adding features, and moving fast, it’s easy to lose track of what actually made it into your codebase. So I built: https
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]
Build a backend with managed Postgres, authentication, realtime subscriptions, and auto-generated APIs.
@im_pradee_p · X
Backend as a service
Automate customer support with AI-powered chatbot, knowledge base, and workflow tools.
@Harshwardh3263 · X
Tired of answering the same customer questions? Let handle your customer support 24/7.
Build databases, kanban boards, and notes for AI agents to collaborate on.
@emir_ogz · X
Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly