Farhan Helmy

Hiring, building pipeline to expand team Fellowship: 2k (L2~L4) Fresh/junior: 7k probtn, 8~10k full (L5+) Senior+: 10k probtn, 15k+ full No equity, given probably if you're good Requirements, next thread. Bar is serious, not "light"

JUST IN: Bolt CEO Ryan Breslow fired the company’s entire HR team because they were “creating problems that didn’t exist.”

Soft Launching my ebook for RM99 here and i promise, the rm99 here will be a lot cheaper than when i sell it properly later (current planned price is around 59 USD) what you will get in the book? 1. blueprint for full fledge proper AI trading bot 2. explanation about TA and FA 3. my latest updated watchlist so you can kickstart your journey faster this promo will only last until i properly set up the website to sell this ebook

🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗

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BREAKING LAYOFF ALERT: ClickUp 🚨 If you haven't heard of ClickUp, it's a $4B SaaS productivity platform. Project management software competing with Asana, Monday, and Notion. Today CEO Zeb Evans cut 22% of staff and posted the memo himself on X below. He says AI makes the best engineers wildly more productive, and everyone else using AI slows these engineers down. "The primary change is that we're restructuring around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago." Interesting take. He's calling the people he just fired bottlenecks. The savings for the layoffs? Going into $1M salary bands for survivors who "create outsized impact using AI." So he is downsizing, but reinvesting in those that he believes in. Will be interesting to watch this one play out.

Alhamdulillah, poc menjadi AI berjaya calculate risks and do portfolio allocation Then beli guna API