Eight open-source projects built with Jev, with cost and timing data

Mika @mika_systemsOriginally posted 2026.09.28

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i didn't expect people to build this much with Jev already 1,000 emails sorted for roughly $0.03. 1,000 reviews checked in 4.6 seconds. fewer calls to Claude. 8 open-source repos, starting with the ones you can use every day: 1. sort your Gmail → jevmail sort Gmail into needs reply, updates, promos, sales and spam. each message gets an urgency score. the author reports: 1,000 emails → about 1 minute → roughly $0.03 read-only Gmail access. nothing gets sent or deleted. https://github.com/fazlerocks/jevmail 2. send uncertain emails to Claude → claude-x-jev Jev sorts emails, leads or comments. Claude reads the uncertain items and writes. the author's inbox: 216 emails → 38 for Claude to review in the separate sorting comparison: → Jev: about $0.01 → Opus 5.5: $4.73 https://github.com/charlesdove977/claude-x-jev 3. let Jev handle browser clicks → firefox-jev-mcp Opus sets the browser goal. Jev handles the clicks. in a Wikipedia navigation test: → Claude turns: 12 to 4 → Claude tokens: 88,500 to 20,800 → total time: 23.4 to 14.7 seconds https://github.com/kitoutou999/firefox-jev-mcp 4. turn app reviews into priorities → jev-column-race turn 1,000 app reviews into sentiment, topics, bug reports and scores for how likely users are to leave. → Jev: 4.6 seconds / $0.023 → Gemini 3.8 Flash: 18.8 seconds / $0.158 4.1x faster. about 7x cheaper in the recorded comparison. https://github.com/goodrahstar/jev-column-race 5. find code by asking a question → every ask your codebase a question like "which functions ignore errors?" the author measured: 1,302 functions → 3.7 seconds → $0.018 you get ranked matches with files and lines to inspect. https://github.com/sufianetaouil/every 6. load only relevant skill descriptions → jev-skill-gate Claude doesn't need every installed skill description in every session. one Rust example with 217 skills: estimated description tokens → 12,750 to 3,185 75% smaller → roughly $0.00074 for the Jev call the skills remain available to invoke manually. https://github.com/ShivamPansuriya/jev-skill-gate 7. check commands before they run → hermes-jev-approvals Jev checks commands against your rules and returns approve, deny or ask a person. in the author's 156-command benchmark: → review time: 619 to 63.2 seconds → human prompts: 42 to 10 a separate study against GPT-5.4 mini found a smaller 1.24x reviewer-time speedup. https://github.com/anpicasso/hermes-jev-approvals 8. put useful search passages first → jev-rerank-server put relevant search passages first before your model reads them. 25 search queries → 500 relevance checks 16.9 seconds → about $0.016 at listed API rates in that sample, the top-10 ranking score improved from 0.616 to 0.718. https://github.com/gbesse/jev-rerank-server all eight are open source. the numbers come from the authors' tests and examples. API usage is billed separately. pick a repo → get your Jev API key with this guide → follow the repo's setup instructions ↓

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