We just launched the most requested feature for @kwizspark: The PDF-to-Quiz AI.
As a student/developer, I know the pain of staring at a 200-page PDF and trying to figure out what’s actually going to be on the exam. So, we built a solution that does the heavy lifting for you.
The Highlights:
Scale: Upload massive documents (yes, even that 270-page math textbook).
Speed: Powered by Gemini 2.5 Flash for near-instant generation.
Accuracy: Get high-quality questions without the "AI hallucinations."
We’ve already crossed 5,000 active users on KwizSpark, and I can’t wait to see how this helps you study smarter.
Check it out here: https://t.co/ru9ztG1Ir3
#EdTech #BuildInPublic #AI #KwizSpark #NextJS
Debugging feature flags today means waiting for real traffic.
A user reports seeing the wrong variant... you can't replicate it. You configure a flag for internal users, the only way to confirm it works is to wait for someone to trigger it. You change a flag condition, there's no easy way to see how the same user would have evaluated before and after.
So I built a simulator that solves that problem.
Built a feature flag simulator that runs entirely in the browser.
You can:
> Test custom user properties against any flag condition
> Debug OR/AND logic across multiple groups with a full evaluation trace
> Catch continuity breaks before they hit production, anonymous vs identified sessions side by side
> Verify rollout percentages are deterministic across any distinct ID
Bucket scoring uses murmurhash3, same algorithm production flag platforms use to ensure consistent evaluation across distributed systems.
Demo → https://t.co/jHln3BqMKO
Source → https://t.co/iWGmiaxZeq
Built a feature flag simulator that runs entirely in the browser.
You can:
> Test custom user properties against any flag condition
> Debug OR/AND logic across multiple groups with a full evaluation trace
> Catch continuity breaks before they hit production, anonymous vs identified sessions side by side
> Verify rollout percentages are deterministic across any distinct ID
Bucket scoring uses murmurhash3, same algorithm production flag platforms use to ensure consistent evaluation across distributed systems.
Demo → https://t.co/jHln3BqMKO
Source → https://t.co/iWGmiaxZeq
I built this thing called Clicky.
It's an AI teacher that lives as a buddy next to your cursor.
It can see your screen, talk to you, and even point at stuff, kinda like having a real teacher next to you.
I've been using it the past few days to learn Davinci Resolve, 10/10.
We moved Railway's entire frontend off Next.js. Two PRs, zero downtime.
Builds went from 10+ minutes to under two. 200+ routes on @vite_js + @tan_stack Router, instant HMR, and dev server startup in seconds.
@vrzgc's full breakdown: https://t.co/01jxBHWEqZ
Exact same issue for me- I know my previous books and articles have been used to train AI (looking at you anthropic)- & when I run previous articles (written pre-AI) into AI checkers, they can come back as high as 90% AI. It's not artificial intelligence- it's collective human intelligence.