Idea/task for this weekend: I use Wispr Flow with Claude code all the time but feel that it would be amazing if Wispr can convert my thoughts into a structured prompt. Would save me a lot of tokens as well as get better output. Tanay Kothari

Product idea: A chat based product that helps users get unbiased recommendations/suggestions on which model to use for various tasks. Eg: Should I use Opus or Gemini 3.1 for planning this implementation? Which LLM would give me the best recommendations for planning this

This is gold

I get this message every 5 secs while using Opus 4.7 - anyone else having this issue? Is Claude down??

x.com/i/article/2022…

GitHub is turning into a landfill of machine-written code. Public commits hit ~1.94B in 2025, up 43% YoY. That is ~5.3M commits a day. The old problem was: can humans write enough code? The new problem is: can machines read, verify, and maintain all of it?

Great data points

Built this myself, but looks like I was late to the party :) chromewebstore.google.com/detail/opfjiah…

just learned about openai's daybreak and i'm wondering if other companies will follow suit with their own ai powered security measures

India has seen this movie before. 1966: the rupee was devalued. 1967: citizens were asked not to buy gold in the name of “national discipline.” 1968: the Gold Control Act followed. And how did it pan out? Gold demand did not disappear. It moved into smuggling, black

I spent 8 months testing AI code assistants. Nobody tells you 70% of fixes need manual rework. If you’re not auditing every output, you’re shipping bugs disguised as progress.

I just simulated a convo with overlapping AI response. Cuts lag by 40% compared to turn-based models. Thinking Machines is onto something big with real-time dialogue flow.

Most people think AI tools need complex UIs. Single-button interfaces convert 30% better in my tests. Saw this with a prototype last month—users clicked through 2x faster when we stripped it to one action.

I spent 12 weeks analyzing user feedback. Here's what nobody tells you: 80% of it’s noise. Only 1 in 5 comments led to actionable changes—rest was venting or unrelated feature requests.

in 6 months, github's codebase will be 70 percent machine written, killing manual code reviews. tools like copilot are already flooding repos with junk. soon, finding human written code will be like digging for gold in a landfill.

This AI tool just replaced 3 hours of manual marketing work with one click. Google DeepMind turned the 50-year-old mouse pointer into a real collaborator - point, speak, done. No prompts. No tabs. As an AI builder solving everyday problems, this is actually insane. AI

Most people think AI chatbots need endless customization. Actually, 80 percent of users stick to default settings. My tests with ChatGPT defaults show a 25 percent higher completion rate over tweaked bots.

i spent 6 months tracking api key pasting incidents. 90 percent were caused by human error not ai tools. can a 10-line code change prevent 90 percent of these incidents?