
TokenPath — Citations, built for AI agents
API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention
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23 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

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

Convert Markdown and plain text to Confluence-ready rich text format.
sskhnje · V2EX
Text to Confluence|解决 Markdown 复制到 Confluence 的格式折磨 作为产品经理,做产品写 PRD ,经常要把 Markdown 文档迁移到 Confluence 。 直接复制粘贴会出现一系列格式问题: ·标题层级错乱 ·列表、表格、代码块样式丢失 ·粘贴完成后需要大量手动二次调整格式 ·团队不同成员粘贴导入,最终输出样式不统一 针对这个高频痛点,做了一个简易工具:Text to Confluence 🔗 访问地址: https://www.texttoconfluence.com/ 工具目标 将 Markdown / 纯文本内容,尽可能无损转换适配 Confluence ,减少重复手工格式调整工作。 个人使用场景 ·PRD 草稿 ·产品文档 ·技术说明文档 如果你也日常使用 Confluence ,欢迎试用,如有问题或优化建议,非常欢迎反馈。

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]

Generate professional resumes, cover letters, and LinkedIn summaries with AI.
@clarry_d_trader · X
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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.
sipsip.ai — 支持30+平台视频AI转录并提取摘要,订阅RSS可以每天发送早报

Paste a GitHub repo to generate an AI onboarding guide with overview, reading path, and diagrams.
@VirendraSi10558 · X
Top 30% out of 2,989 in the OpenAI x @namastedev_ Codex Hackathon 🚀 RepoPilot: turns any GitHub repo into a guided onboarding flow (analysis + AI explanations + diagrams). Planned with Codex, built with Claude Code. @akshaymarch7 @OpenAI #Codex

Extract SEO opportunities from Google Search Console with ready-made optimization suggestions.
@citewins · X
Just launched! 🚀 I've spent my weekends building CiteWins, and today it’s live. If you own a website, it helps you drive #SEO traffic from Google & boosts your visibility in AI search like ChatGPT & Gemini. 🤖📈 🔗 #BuildInPublic #AI #AEO #SEO #GEO