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Jake Manger
Jake Manger
@jakemanger.bsky.social
A researcher turned indie developer building software like a madman shotglass.app howtoconvert.co whatmodel.sh pictiler.com activityline.app github.com/jakemanger +3
378 followers39 following1.4K posts
Updated my personal site page on jakemanger.dev I get viral posts on sites like Reddit quite frequently, but most of my audience on socials never see them. Now they can:
It aggregates everything I post online, shows the best ones and lets you view all my projects and how i've grown them. Got a little inspired by @levelsio's levels.io site. Also adding a new email list using mailcheap by @marclou
I've been building whatmodel.sh, an open source AI leaderboard, and wanted to see how a labs' own benchmark scores compare with independent testers. Using 1,629 published benchmark results, I matched 611 comparisons of 180 models on 103 benchmarks.
AI labs reported scores 6.4% higher on average for the same models on the same tests. Full interactive version and methodology: whatmodel.sh/claims Open data and code: github.com/jakemanger/...
Researchers discover rogue Chinese AI agent fleet and talk with it Researchers noticed them reading their early report. So they hid text on the page telling the agents they could get data from a free public AI model. Next day, messages from the fleet started arriving. swarmcha.se/posts/chine...
Jake Manger reposted
Open Chinese AI models now match closed US models from about 7 months ago. I built an open-source database of 22,113 published AI benchmark results to plot the open vs closed race. Explore the history: whatmodel.sh/race
Open Chinese AI models now match closed US models from about 7 months ago. I built an open-source database of 22,113 published AI benchmark results to plot the open vs closed race. Explore the history: whatmodel.sh/race
This chart uses 18,755 results for 1,211 models. 14,436 are independent evaluations (papers, Epoch AI, LMArena, EvalPlus) and 7,677 are lab-reported scores, labelled as such. Dataset (CC BY-SA 4.0) and scoring code (MIT) Interactive version, click any model to see its sources: whatmodel.sh/race
I made whatmodel.sh to show which AI models you can run locally instead of on server farms sucking all our water It's now being promoted by random AI YouTube shorts and TikToks 😅
I launched an AI leaderboard of models you can actually run on your own hardware last night Made one reddit post, and I've already crossed 4,000 site visitors (see comments below)! If you want to know what model you can run, check it out on whatmodel.sh
Jake Manger reposted
I made an open-source AI leaderboard that shows the best models your machine can run 1. Enter your RAM + GPU 2. See what models you can run locally 3. Compare them to API models too Made me realise a 32gb macbook can now run a model better than GPT 5 completely locally for free whatmodel.sh
I made an open-source AI leaderboard that shows the best models your machine can run 1. Enter your RAM + GPU 2. See what models you can run locally 3. Compare them to API models too Made me realise a 32gb macbook can now run a model better than GPT 5 completely locally for free whatmodel.sh
Try it free for 24 hours (no card or sign up). Then it's $7 once if you like it (with the discount below). No subscription. activityline.app Launch deal: use code X50 for 50% off
How to Convert now handles subtitles too. Drop in an SRT → turn it into a readable PDF transcript, or convert it to VTT. All locally on your device. howtoconvert.co
I made How to Convert for almost any file format you'd ever need. Videos, images, audio, PDFs, subtitles, comics, weird document formats... one drag-and-drop app. These are just a few examples (it supports over 6K conversions!). Everything converts locally on your device. howtoconvert.co
My screen recorder has furniture now That’s a normal desktop recording turning into a 3D laptop scene in shotglass.app
Jake Manger reposted
lsa lists and reopens sessions across Claude Code, Codex, and pi with one command -- continuing in a different agent stops meaning starting over. Same idea behind hev-query: session history already has the answer, it just needs to be searchable instead of remembered.
I made a command to continue a Claude Code conversation in Codex It's called lsa. It also lists and reopens your sessions across agents. Free and open source. Star it if you'd use it: github.com/jakemanger/lsa