Entries 433 to 480 of 743, in the hub's default order. The introduction is on page 1.
Showing 433 to 480 of 743
A pre-registered evaluation of Jev's pairwise hawkishness rankings of FOMC chair press-conference openings, checked against same-day federal funds rate changes and an independently published scoring project.
maybern-tripp-smithOpenmaybern-tripp-smith/fedjev-bench on github.comA stateless CLI for typed judgments with Jev, turning a state plus typed questions into JSON on stdout and exit codes a shell script can branch on.
model-clisOpenmodel-clis/jev on github.comAn MCP server that lets Claude hand a whole browser task to Jev, which makes each click, type or select decision in about 100ms while Claude keeps planning the task and verifying the result.
MSalvalaggioOpenMSalvalaggio/jev-reflex on github.comModeration for communities and apps that scores every message for spam, scam, harassment and other categories with Jev, with thresholds and actions you set. Ships as Discord, Telegram and Reddit bots plus a CLI, Python and npm packages, an HTTP API and an MCP server.
ohernandezdevOpenohernandezdev/jevmod on github.comA capability kernel that gates every agent tool call: the model gets canaries and placeholders instead of real secrets, and Jev is one of the sensors deciding block, ask, or allow.
A Chrome extension that sends LinkedIn feed post text to Jev with a rubric of narrow yes/no and rating questions, then blurs posts it scores as low value, with one-click reveal.
Scores Federal Reserve press conferences hawkish to dovish in real time: Jev rates every word the Chair says in about 150 milliseconds, side by side with a chat model scoring each caption line.
Unofficial typed Elixir client for TypeSafe AI and Jev with offline test stubs, concurrent fan-out and atom-keyed answers.
An adversarial evaluation of Jev with nine experiments and 28 predictions fixed before any data was collected. One run covered 123,805 requests over 138 minutes for $12.69, with five failures, plus a 13-rule prompting guide.
A local Gomoku game for Apple Silicon where Laya-MLX plays white, choosing among up to six rule-filtered candidate moves with a real choice inference call, and the browser shows the model's per-candidate probabilities.
smile-magicOpenYizhao (Laya-MLX Gomoku) on github.comAn Android system-wide overlay that reads on-screen text through an AccessibilityService, sends it to Jev, and shows a floating badge when a manipulative interface pattern looks likely, skipping password and card entry screens.
zohaib-mdOpenzohaib-md/UXRay on github.com
The founder's launch post, around 76k likes, arguing that RLCD-trained decision models are a shorter path to economic value than chat models. Submitted separately to HN as item 49716682.
Diogo Almeida (@CompleteSkeptic)OpenDiogo Almeida's Jev launch post (X) on x.com39M viewsSpeed 20-200x fasterCost 40-400x cheaper
A video demo pairs json-render with Jev to render generative UI components in milliseconds, using the viewer's own components, actions, and design system.
A video demo of copy and paste made 'smart' using Jev from TypeSafe, with no further detail on the mechanism given in the post text.
A demo breaking down 724 live ads from 37 brands in 40 seconds for 9 cents, covering hook, format, offer, CTA, funnel stage and landing-page mismatch for each ad.
Matthew Berman (@TheMattBerman)OpenBreaking down 724 ads from 37 brands with Jev (X) on x.com1.1M viewsSpeed 724 ads/40sCost 9 cents
A video demo has Jev read 586 pages of a site in 45.1 seconds and rebuild the internal link map, placing 584 links and refusing 139 pages where nothing fit, for $0.21 total. In the same time, Claude Opus 5 processed only 21 of the same pages for $1.43.
borja (@borjafat)OpenAn internal-link SEO audit (X) on x.com827k viewsPages read 586 in 45.1sCost $0.21
A video demo rebuilds a Tesla Full Self-Driving-style simulator controlled by Jev, built in under an hour.
Company launch post announcing early access to Jev.
A video demo of voice-controlled computer use on a Mac built with Jev: dictating a command such as opening the Notes app triggers the action before the sentence finishes.
A video demo of Jev playing Super Mario Bros. in real time, using its fast inference and structured output for moment-to-moment decisions.
A video demo of Jev V13 playing 5+0 blitz chess against Fable 5.1 and GPT-6 Astra, one move per API call, answering in about 2.6 seconds per move. Fable was ahead on material but lost on time; Astra mated Jev in 18 moves.
AI/ML API (@aimlapi)OpenBlitz chess against frontier models (X) on x.com559k viewsMove latency ~2.6 svs Astra mated in 18 moves
A video demo of Jev generating platformer game levels in real time, using fast structured output aimed at game development.
A short video demo asking whether Jev understands colour, posted by generative artist Matt DesLauriers, who calls the model a leap forward for building new UX and UI paradigms on top of language models.
A video demo of jev(), a PostgreSQL extension that filters rows with a natural-language condition inside a WHERE clause with no index or embeddings. It judged 129 rows in about 1 second for $0.0009, and 6 milliseconds on a cached rerun.
Zachi (@iam_zachi)OpenNatural-language queries inside PostgreSQL (X) on x.com478k viewsFirst run 129 rows/~1sCost $0.0009
Given 700 high-intent leads and personalized outreach messages, Jev predicted how each message would perform, assigned a confidence score and flagged lead-message mismatches in 40 seconds for $0.09.
Romàn (@romanbuildsaas)OpenScoring 700 leads and outreach messages with Jev (X) on x.com476k viewsSpeed 700 in 40sCost $0.09
Microsoft's launch post for Microsoft-Decision-1, a Qwen3.5-9B decision model on Foundry at $0.042 per million input tokens. Its vendor-run charts, run on an undisclosed 36-benchmark suite, now include Jev: 82.3% accuracy and 93.7 calibration against 83.5% and 92.2 for Microsoft-Decision-1.
Satya Nadella (@satyanadella)454k viewsOpenMicrosoft-Decision-1: Our model for fast decision-making on commandline.microsoft.com
A video demo of an email classifier built with Jev, tested on 1,500 of the author's own emails.
Demos a launcher that ranks results by alias, fuzzy match and habit; Jev reads typed intent so a query like 'the pdf I just downloaded' puts the newest matching file on top within about 100 ms.
nader dabit (@dabit3)OpenA predictive launcher powered by Jev (X) on x.com429k viewsResponse time ~100 ms
A video demo of Jev drawing pictures by predicting every pixel in parallel.
A video demo of a massively parallel, browser-based adversarial testing suite built with Jev that tries to break each software release, at a cost described as pennies per run.
A video demo controls a browser in real time by voice: the spoken transcript goes to Jev, which returns probabilities in about 300 milliseconds, and the browser acts on the result for roughly $0.0002 per decision.
Moritz Kremb (@moritzkremb)OpenReal-time voice control for a browser (X) on x.com368k viewsResponse time ~300 msCost per decision $0.0002
Describes an SEO/GEO agency workflow, auditing Search Console, PostHog/Mixpanel and AI citation data, that used to cost about $250 per client; each step now runs roughly 30x faster with Jev, cutting the total cost by 90%.
Ira Bodnar (@irabukht)OpenAn SEO/GEO agency workflow that cut costs 90% with Jev (X) on x.com366k viewsCost cut 90%Prior cost/client ~$250
A demo of Jev playing Subway Surfers at superhuman speed, including 50 games running at once, for under a cent total.
A video demo shows Jev returning 14 typed probability checks per pull request diff, such as hardcoded secrets and SQL injection, which code turns into a block, review, or merge verdict. Checks scoring between 0.35 and 0.65 confidence are escalated to a human or a larger model.
Paolo Rosson (@redp314)OpenFourteen checks for every pull request (X) on x.com357k viewsCost per PR $0.00007vs Opus, 1k PRs 7c vs $14.50
A video demo of Jev controlling all 4 characters in a Smash Bros match against itself, picking each next move within a fraction of a second; the match used over 22 million tokens for a few cents.
Mau Baron (@maubaron)OpenJev playing all 4 characters in a Smash Bros match (X) on x.com311k viewsTokens used 22M+
A video demo shows Jev classifying 500 emails in a few seconds for a total cost of 3.5 cents.
Riley Brown (@rileybrown)OpenClassifying 500 emails in seconds (X) on x.com296k viewsCost 3.5 cents
A video demo of computer-use automation built with Jev, said to run 155x cheaper and about 20x faster than Opus 5 while generalizing across operating systems.
aaron (@awlevin)OpenComputer use across operating systems (X) on x.com292k viewsvs Opus 5 155x cheaperSpeed vs Opus 5 ~20x faster
Hassan used Jev to sort 1,018 AI research papers into one of 24 topics for $0.08 in total, with a 256 ms median latency per paper, after DeepSeek V4 Flash wrote the summaries. He was still running evals before swapping them in for the topics on 1kpapers.com.
Hassan (@nutlope)Open1kpapers, AI research papers classified by Jev on 1kpapers.com286k viewsCost $0.08Latency 256 ms median
A video demo of predictive spreadsheets where typing a column header such as Urgency prompts Jev to rate each row on a scale from no follow-up needed to urgent in about 100 milliseconds.
nader dabit (@dabit3)OpenSpreadsheets that read intent (X) on x.com276k viewsResponse time ~100 ms
A 49-task, 8-site browser-agent benchmark. Jev paired with a small model for argument generation solved 100% of tasks at far lower cost than screenshot-based computer use, and adding WebMCP tool exposure roughly doubled Jev's own solve rate from 25 to 49 tasks.
idan levin (@0xidanlevin)OpenWindTunnel: the WebMCP benchmark on webmcp.com239k viewsSolve rate 25/49 to 49/49Cost vs Astra 112x lower
A video demo of Mac computer use driven by Jev with no screenshots sent to an LLM: a local CoreML model segments on-screen elements, on-device OCR reads their labels, and Jev picks which one to click in a loop, at about 90ms per decision.
Milind S (@milindlabs)OpenMac computer use with local perception (X) on x.com239k viewsPer decision ~90ms
Free SuperX tool that scores a draft X post from 0 to 100 against a normal post from an account your size, with lists of what helped and what hurt and a simulated feed preview. Rob Hallam's launch post says each draft gets 61 Jev questions in about a second, fitted on 9,481 posts from 207 creators.
Rob Hallam (@robj3d3)OpenTweet Tester: Preview & Score a Post Before You Send It on superx.so238k viewsPer post ~1s, $0.0004Accuracy 2 in 3
Argues tool calling decomposes into classify plus action, and that pipelines switching between classification, structuring, deterministic code, and small agent loops make Jev a useful building block.
Dex Horthy (@dexhorthy)232k viewsOpenjev is the best excuse you could possibly have to go re-read 12 factor agents on x.com
A video demo of a Rubik's Cube solving itself with Jev: a standard beginner method is coded in, and at each step Jev picks which case the cube is in while code checks the pick. It took 94 moves rather than the 22-move optimal solution, using about 4 seconds of model time.
Paolo Rosson (@redp314)OpenA Rubik's Cube that solves itself (X) on x.com207k viewsMoves used 94 vs 22Model time ~4s total
A DuckDB extension that runs Jev classification on rows of any CSV, Parquet file or DuckDB table, taking about 10 seconds for 1,000 rows.
Hamilton Ulmer (@hamiltonulmer)OpenA DuckDB extension for Jev classification (X) on x.com181k viewsPer 1k rows ~10s
A free tool where Jev reads 3 days of posts from a chosen niche, asks 8 questions per post to filter out bait and hidden ads, and weighs like/reply/repost ratios, running in about 2 seconds for $0.007.
Rob Hallam (@robj3d3)OpenA feed filter that scores posts by niche with Jev (X) on x.com176k viewsPer run ~2s, $0.007Questions/post 8
A simulation of the X ranking algorithm built with Jev, using real ranking weights to simulate a post's virality against a global feed of other users.
A video demo classifies 1,891 ads from a competitor's ad library in 19 seconds for $0.12, tagging each by customer journey step and ad style.
Stav Zilbershtein (@mightyking)OpenMaxfusion competitor-ad research (X) on x.com171k views1,891 ads 19s, $0.12
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