AI product studio. We ship Sigmora, 1Snag, MediQuest, SkillSaber, Verisha & more. Need custom AI or automation built? Book a call ↓

Delaware, USA
Joined December 2023
We're AlgoCracked, an AI product studio. We ship our own products, then build yours. Sigmora: marketing on autopilot 1Snag: lead OS MediQuest: AI health SkillSaber: coding + live classrooms Verisha: Kenyan legal & tax Need custom AI? algocracked.com/enterprise
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Lagos Life was reportedly built in <12 hours, off camera. Tomorrow we build CityLife ON camera, live on YouTube 🇰🇪 • one game, every city • 0 lines of code at start • 7 Claude AI engineers at once • M-Pesa, card or crypto Wed 14 Oct, 9PM EAT / 2PM ET Waitlist in reply 👇
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there's a typo in this video. watch what happens to it 👀 HyperFrames Studio: your agent builds the video, you finish it — click, fix, scrub, ship. same HTML your agent wrote. npx hyperframes preview @liu8in
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Every product we ship runs on one in-house platform: video delivery, a sandboxed code judge, real-time classrooms and payments with local rails. Need something like it built for your business? Book a call: zcal.co/i/A5eyP_Gw
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TheMLTrader publishes machine-learning trading research, signals and quant education with radical transparency, including what did not work. themltrader.org
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Thamanisha is investment and personal-finance education for savers, investors, employers and the diaspora, in local language and instruments. Education, not financial advice. Kenya first. thamanisha.co.ke
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Verisha is legal, tax and land intelligence that checks documents and filings for individuals, SMEs, law firms and landowners. Kenya first. verisha.co.ke
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SkillSaber: coding and data-science preparation with courses, books, practice and certification, plus a live-classroom platform for schools, colleges and tutors. Learners join free. skillsaber.org
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1Snag is a lead operating system: source, qualify, engage and convert leads in one accountable workspace, with provenance on every lead so you always know where it came from. 1snag.com
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Sigmora turns an idea or a reference into a full video campaign: content, video and multi-channel publishing on autopilot. Built for founders, marketers, agencies and creator teams. sigmora.org
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AlgoCracked retweeted
Eleven v4 ranks #1 on Artificial Analysis. To celebrate, for the next 24 hours, we're giving away 11k credits to everyone who: 1. Follow @ElevenLabs & @ElevenCreative 2. Like + Repost the video below 3. Reply "v4" below You can try Eleven v4 and Eleven v4 Turbo in ElevenCreative, ElevenAgents, and ElevenAPI right now. (Do all three and the credits are yours. If your DMs are closed, follow me so I can send them over)
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Made this bright Afro-pop celebration with Music v2.5 — “Gold Beginnings” 🎵 elevenlabs.io/music/songs/NH…
Music v2.5 just went live. To celebrate, we’re giving away 11k free credits. To enter: 1. Quote the post below with a track you made in Music v2.5 2. Reply here with the link to your quote post. For the next 11 hours. We'll DM everyone who does both the credits.
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AlgoCracked retweeted
im really confused. yesterday tibo posted that they make codex limits even better after fixing a bunch of things, but as soon as i updated my codex app and gave it a task it used up my 5 hour limit faster than it ever had before. id love some clarifiction here or to know if this is a known new issue because i am seeing the exact opposite outcome than what he just said is the case. it seems a lot of others are experiencing the same. i would like to know why it was said all these limit draining issues were fixed but the limit is now draining faster than it ever was before. please clarify this.
We are reseting usage for all paid users of Codex and ChatGPT Work. Please continue reading for an update on Codex usage limits. The team has been working around the clock, going through thousands of reports and shipping fixes. Depending on how you use Codex, you should see your usage go between 10% and 50% further than before. We really went with a fine comb, with many uncovered small things being longstanding and here is what we found and fixed: - Compaction. We were keeping old images during compaction, sometimes making the context large enough to trigger compaction again. After the fix, usage dropped around 10% for users making heavy use of images. Fixed. - Memory. Background memory workers could inherit Stop hooks and keep running when the hook wouldn’t let them finish. This affected fewer than 1% of users, with the long tail being pretty bad and we saw one example thread check whether it could stop 15,000 times. Fixed. - Goals. In some cases, a set /goal could finish and then keep going past the intended stop condition, or the model would keep retrying broken tools without stopping. We saw examples consume anywhere from 15% to 70% of a weekly allowance. Fixed. - Automations. Some custom schedules could run more frequently than configured. Fixed. - Subagents. Smaller models (e.g. Luna) sometimes picked more capable helpers without being explicitly asked. The same was true where the orchestrating model not running in /fast mode could request sub-agents to run /fast. Fixed. - Computer History. The older implementation could lead to repeatedly summarizing overlapping activity. For some cases we saw it consume up to one fifth of the weekly usage per week. Fixed. - Rolling task summaries. Ordinary turns were triggering extra background requests. These added about 1% to token usage. Small each time, but it adds up. We have disabled this. - MCP. Some tool results could be encoded twice. We also found tool instructions getting cut off and fetched again. Fixed. We’ve also made architectural changes to prevent these from regressing and our teams will get paged if it happens regardless. We are also working on showing you directly in the app where your usage goes so you don’t have to guess. Goes without saying that we’re resetting usage limits and I hope you enjoy a very nice Saturday!
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Most people use AI. I build systems around it. Machine learning, algorithmic trading, quantitative research, crypto, SaaS, and software engineering. The interesting problems are rarely solved by the loudest person in the room — they’re solved by the person who can actually build
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Replying to @thsottiaux
@thsottiaux let's be honest @OpenAI and especially @ChatGPT experience is not great. When @AnthropicAI roll out features it's for all users but you guys give much value to some users than others for same subscription
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And now I cannot buy resets and my referrals doesn't have any perks. This is @OpenAI giving middle finger to some users. Consistency and equal perks will help here for real
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On my 200 USD/month plan I did not have any reset when many people were posting up to 20+ banked resets on tech twitter
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