A FIELD GUIDE TO JEV / VOL. 01
Yang terbaik dari Jev: proyek nyata, panduan praktis, dan ide dari seluruh internet.
TypeSafe AI@typesafeaiOFFICIALTypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.
x.comAnswers your code can useLihat proyek ↗
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
TypeSafe AI@typesafeaiOFFICIALTypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
x.comJev opens to everyoneLihat proyek ↗TypeSafe AI@typesafeaiOFFICIALTypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
Four official signals. A fresh starting point on each visit.
28 sumber
AI-assisted summaries and translations. Check original sources for context and performance claims.
AbolA community post describes using Jev to analyze news for stock investment opportunities.
Source-linked curation
EthanJev identifies and manages marketing messages in Android notifications without content deletion.
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Jev conducts a sentiment-based stock market analysis for the Danish market in 2025, using diverse data sources with low cost.
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A stock evaluation tool using Jev for fast market analysis.
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Jarrod WattsA trading bot using Jev to decide buy/sell actions based on asset price feeds and executing real trades.
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Jev rapidly analyzed news articles to suggest relevant stories for brands at a low cost.
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Everyday Stocks Status with Jev.
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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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AbolA demonstration where Jev was given $10,000 to trade.
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Does Jev predict stock returns from news? It reads the news well; there is no tradeable alpha. Three arms separate reading from recall.
github.comGaurav-Gosain/jev-alpha-benchLihat proyek ↗Source-linked curation
A developer project related to market analysis using Jev, collected for the markets shelf.
github.commaybern-tripp-smith/fedjev-benchLihat proyek ↗Source-linked curation
An experimental trading system using defined rules and Jev for decision-making.
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Jev on Sol. A community post describing an experiment where Jev analyzes Solana blockchain data in real time.
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Probably: live BTC, ETH, and XRP prices with a shared TypeSafe buy-or-wait demonstration. No trades placed.
github.comJordiParraCrespo/typesafe-ai-trading-showcaseLihat proyek ↗Source-linked curation
Jev trades 15-minute and 1-hour BTC, ETH, and SOL markets on Kalshi.
x.comKalshi prediction-market botLihat proyek ↗Source-linked curation
Jev rapidly analyzes competitor ads with detailed classification and cost efficiency.
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Orus uses Jev to review and approve trade strategies before execution, enhancing decision-making with structured answers.
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Using Jev to test how well it predicts financial markets(just like most llms as of september 2026, it doesnt do that good).
github.comthodoh1/FinancialPredictionJevLihat proyek ↗Source-linked curation
Backtest Jev (TypeSafe) as a BUY/SELL/HOLD trader on NQ L10 order-book data.
github.comjustinhe16/trade-jevLihat proyek ↗Source-linked curation
An experimental JEV-powered framework for forecasting short-term stock price direction from structured market data.
github.comsosopop/jev_stockLihat proyek ↗Source-linked curation
Trading bot with the all new TypeSafe AI's first system one model named as Jev.
github.comzadescoxp/Jev-TradesLihat proyek ↗Source-linked curation
A community post describing an SEO audit using Jev to analyze website internal links in 45 seconds.
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A project comparing Jev's performance against chat models in analyzing Fed press conferences.
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AckermanJev rapidly analyzes 700 live ads in 40 seconds for marketing insights at low cost.
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A community tool leverages Jev to identify relevant X discussions for business outreach.
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One AI trade decision every Monad block. Jev on Kuru MON-USDC.
github.comjarrodwatts/jev-traderLihat proyek ↗Source-linked curation
Experimental multi-horizon BTC signal generator using TypeSafe Jev probabilities and Binance market data.
github.comWebGrga/btc-jev-signalLihat proyek ↗Source-linked curation
Live Jev trader on Hyperliquid.
github.comaowang-ai/jev-tradeLihat proyek ↗Source-linked curation
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4 HIGHLIGHTS
Markets & experiments
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