The full gallery
Tech stack
19 projects
API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention
OpenAI-compatible API for running open-weight LLMs and video models.
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API
Track AI coding costs attributed to pull requests, teams, and organizations.
haseebejaz · HN
TokenSpend, the AI ROI Solution
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]
Add persistent memory and knowledge to AI agents with drop-in files, URLs, and native MCP integration.
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
AI scans competitors and market data to validate if a startup idea is worth building in 90 seconds.
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
Breaks startup plans into testable hypotheses and coaches customer validation interviews.
@SebBuildsLex · X
I Vibe Coded Lex. Lex breaks down your plan into testable hypotheses, ranks them by risk, and coaches your customer interviews/experiments, so you learn the truth. Use it free at:
AI toolkit for generating debate replies and analyzing arguments with seven specialized modes.
@recurno · X
Just shipped Riposte. Paste a Reddit dunk aimed at you → get 4 reply angles that take your side. Sharp. Logical. Aggressive. Socratic. Or spar the AI in Arena first. #debate #buildinpublic
Get transparent app development cost estimates and visual build plans based on AI tokens.
u/Ejboustany · Reddit
Knowing your build cost from a tokens formula The bigger the feature you are building, the more tokens you spend and how you can calculate the total cost of your build. You will also spend even more tokens making that feature proper and production ready. Say you want users to sign up, log in, verify their email and reset a forgotten password. Built properly it runs around 400,000 tokens. The formula I thought of is: tokens x $1,500 / 1,000,000 = price So those 400,000 tokens come ou
Your OpenAI client, a different base URL, a much smaller invoice. Frontier open-source models on a decentralized GPU network.
@runnoclip · X
AI inference service that cuts your token bills by 50-90%
Get AI-powered I Ching readings combined with psychology to guide life and career decisions.
@txy1101 · X
Hi! building in public too - working on an AI tool that combines traditional I Ching wisdom with spatial energy analysis for daily decision making & room layouts. love the vibe coding & saas journey, lets connect
Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X
