Jev can serve as better natural language search on websites. It can scan thousands of Zillow listings and classify properties by things you can't normally filter for - e.g. architecture, renovation status, proximity to freeways. This was done in <20 sec and costs $0.18 👇
Ship Pile
Describe the startup you are looking for and Jev ranks the pile, asking once per startup whether it is a fit.
- Category
- Tools & Integrations
- Format
- Playground
- Published by
- Community
- Author
- —
- Added
- 2026-09-25
- Last verified
- 2026-09-25
Highlights
- The directory showed 513 startups, each rendered as a head you click to visit.
- Jev gets one yes-or-no style question per startup rather than writing an answer.
- Search is limited to five a day, repeat questions are free, and listings cost $29 once.
Watch out
The startup count is live and changes, the ranking question type is not documented, and it is an indie project by @kraayenjon.
Reactions & coverage
Posts, threads, and videos about this entry from around the web.
X: Natural-language search over Zillow
X: Filtering WIP todos by meaning
Using Jev to filter through my @wip todos It allows me to super quickly find all the instances where I increased revenue, got stuck, switched to a different SaaS provider, etc Things a regular keyword search would never catch
X: Seven more SEO and GEO workflows
Jev killed 7 more SEO/GEO workflows 👇 1/ Assess which competitor pages to copy -> It scores every competitor page on answer, depth, proof and freshness, then checks its rank in Google and ChatGPT to show which ones are worth copying 2/ Identify which page elements to change Show more
Jev dropped the price of SEO/GEO fixes by 90% Agents that audit and fix a client's SEO/GEO used to cost us ~$250 Here's where the savings come from: 1/ 30x faster reads of Search Console and PostHog/Mixpanel data 2/ 30x faster checks of what ChatGPT searches on Bing 3/ 30x
X: A keystroke oracle that reads intent in ~100 ms
Also have been playing with @typesafeai Jev, insane! So many immediate use cases and new apps are possible. What a time to be a builder! Sharing some experiments here starting with: Keystroke oracle / predictive launcher: Your launcher ranks by aliases, fuzzy match, and Show more
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After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
Pixel art out of 256 multiple-choice questions
I turned @typesafeai Jev model into a pixel art model. 256 multiple choice questions, one per pixel, plus refinement passes. These were the best results out of the bunch I tested. Code: github.com/Wizhill05/type…
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
An Elixir port of the official SDK
[Announcing] TypeSafe SDK - Jev, the first System One model from TypeSafe forum.elixirforum.com/t/76700 #ElixirLang #MyElixirStatus
jod: Zod validates data, Jev judges it
Zod validates data you already understand. Jev judges data you don't. jod is the seam: your state validates locally and for free, every question goes out in one parallel request, and typed answers come back. github.com/mateonunez/jod
Loki: a self-improving harness with a Jev companion
You can run Jev at home with Loki as well! It’s a full agent harness github.com/wundercorp/loki
Jev as an LLM guardrail inside Agentgateway
TypeSafe’s new Jev model is fast 🔥 and Agentgateway keeps up! In minutes, I had Jev running as a prompt guard through Agentgateway, with distributed tracing and cost tracking. Check out the example below Example: github.com/agentgateway/a… Intro to Jev: typesafe.ai/blog/introduci…

