A researcher turned indie dev building software like a madman https://xitter.cf/t.co/8r4C7yyUhs https://xitter.cf/t.co/RwAjQvZPhW https://xitter.cf/t.co/tthdRD8Fnz https://xitter.cf/t.co/495d5M5w47 https://xitter.cf/t.co/hg6kcCMGof https://xitter.cf/t.co/K63qbuxQWL

All my projects 👉
Joined May 2019
I made an app to make screen recordings like an Apple Ad And it just crossed 70 paying users in its first 3 days!
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Jake Manger retweeted
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 inspired by @levelsio's levels.io site. Also lets you sign up to my new email list using mailcheap by @marclou So if you want to keep up with new things I've learned and found while building, please subscribe!
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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 inspired by @levelsio's levels.io site. Also lets you sign up to my new email list using mailcheap by @marclou So if you want to keep up with new things I've learned and found while building, please subscribe!
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Jake Manger retweeted
I made an app that converts almost any file to any other file locally. Just hit 3,000 users This is the video I launched with x2 years ago
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Jake Manger retweeted
284 unique cloners on my open source projec!
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I made an app that converts almost any file to any other file locally. Just hit 3,000 users This is the video I launched with x2 years ago
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It supports over 6,000 document, video, image, comic, email, subtitle and audio conversions. Runs on Mac, windows and Linux and is a one time purchase as I hate subscriptions. The app: howtoconvert.co
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How to look like an asshole: (beehiiv founder below) @marclou you just got a new customer!
an excerpt from today's newsletter @marclou did I miss anything?
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Is this a joke? Doesn’t actually show any real usage. Just some AI edited video
Introducing SKY-001, the first Engineering World Model. On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested: -> 51-125x faster - > 150-210x cheaper -> Higher IOU than all frontier models SKY-001 lets you dream a physical object before you build it. 18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch). The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
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284 unique cloners on my open source projec!
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AI labs report benchmark scores 6.4% higher than independent testers, on average
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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/whatmo…
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Researchers discover rogue Chinese AI agent fleet and talk with it The agents appear to be from Tencent Cloud. The researchers noticed them reading their preliminary report. So they hid text on the page, invisible to humans, telling the agents they could get data from a free public AI model. The next day, messages from the fleet started arriving. Full report: swarmcha.se/posts/chinese-ag…
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Linus on Anti-AI coding rules:
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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
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How to go viral on reddit: Post something interesting with your site as the source
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Not a bad launch
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The AI race: China's open-weight models trail US closed models by just 7 months
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This is from an open-source AI leaderboard I built. Every point comes from a published benchmark result (22,113 across 987 benchmarks), each one linked to its source. This chart uses the text-model results: 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
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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 😅
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