The full gallery
Tech stack
25 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
Leaderboard showing your AI token usage across Claude Code, Codex, Cursor and other coding tools.
SYeomans · HN
TokenMaxxer – track every AI token you spend across your coding tools
Team wiki that automatically updates from your files with source citations.
reveriedev · HN
Almanac – A self-updating wiki from your files
Track AI coding costs attributed to pull requests, teams, and organizations.
haseebejaz · HN
TokenSpend, the AI ROI Solution
Generate accurate APA, MLA, Chicago, Harvard and IEEE citations from URLs, DOIs, or ISBNs.
colin_peterson · Product Hunt
Corroba - Free, accurate citation Cite AI, Verify Links, How To Cite
Reduce unnecessary tokens in prompts to lower API costs for Claude, ChatGPT, Gemini, and Grok.
u/HourRevolutionary666 · Reddit
Solo founder, first SaaS. Honestly not sure how to get from “it works” to “people use it” Okay so here’s where I actually am right now, not the polished version. Spent months building this on my own. It’s an AI/SaaS tool called Token Optimiser that trims unnecessary tokens out of prompts before they hit the model, so you pay less per call without losing what the prompt actually needs. It’s live at https://www.tokenoptimiser.com , I ran it through a proper benchmark to make sure the numbers
Turn your documents into an AI assistant that answers questions with citations.
knoku · HN
Knoku – cited AI answers from docs, files, and team knowledge
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]
Interactive WebGL visualization of scientific citation networks and papers.
@lushptr · X
I feel really guilty for vibe coding this but it looks cool even tho it is really inefficient and broken you can use it too now I'll desloppify it after exams I swear
Detect AI-written text, fact-check citations, and verify documents haven't been tampered with.
@SketchJar · X
Stipple helps you verify a document is real, instead of just guessing if AI made it.
A GitHub-backed wiki for Open Knowledge Format bundles
aiobe · HN
I built Commonplace because I wanted to learn more about Google's Open Knowledge Format for knowledge sharing with human and agents. At the same time, Atlassian announced it will start using customer cloud data to train its AI models (opt-out is Enterprise-only), which made a self-hosted Confluence alternative feel timely. The idea: - Use a Git repository that follows Open Knowledge Format with plain Markdown - Commonplace is just a stateless frontend on top (nice UI, but no database, no backups
Transcribe and summarize YouTube videos, podcasts, PDFs, and MP3/MP4 files with AI.
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