> be Cursor
> start as a code editor
> rocket to a ~$10B valuation
> decide that’s not enough and pivot into building your own models
> now going head-to-head with OpenAI, Anthropic, and Google
> immediately hit the real wall
> you need insane amounts of compute, but your rivals control the supply
> forced to rely on the very companies you’re trying to disrupt
> then SpaceX throws you a lifeline
> massive GPU clusters on the table
> but the terms are brutal
> $60B to buy in or $10B to walk away
> the $10B exit alone is bigger than your whole valuation from last year
> and $60B dwarfs what Elon paid for X
Cursor takes the deal and agrees to a one-year lockup on selling. In exchange, it locks in massive compute access and a $10 billion valuation floor, finally breaking free from depending on infrastructure owned by OpenAI, Anthropic, and Google.
With frontier-scale resources now available, Cursor can train models at a level that was previously impossible and compete on equal terms. The next 12 months will decide if it becomes a true leader in AI coding tools.
→ Which error
→ Which page
→ What the user did before it crashed
At a much lower pricing and error monitoring SDKs actually costing your users.
Sentry SDK: ~30KB gzipped
LogRocket SDK: ~100KB gzipped
Bugsnag SDK: ~20KB gzipped
Anyone else feel this way or am I wrong?#WebDev
Hot take: most indie devs & early startups don't need 90% of what Sentry offers.
Performance profiling — don't need it
Session replay — don't need it
Cron monitoring — don't need it
Uptime checks — don't need it
Release health — don't need it
#devtools
What they actually need:��
@akshaymarch7 - UI Far Better so an avg indian can use it
- stock search, watchlisting, seggregation
- Stocks, MF, F&O (All in one)
- No AMC or AOF
- Even the Web UI is cool
- Groww’s customer support >>>>>
@akshaymarch7 - UI Far Better so an avg indian can use it
- stock search, watchlisting, seggregation
- Stocks, MF, F&O (All in one)
- No AMC or AOF
- Even the Web UI is cool
- Groww’s customer support >>>>>
As a developer, AI has really made it easy to pinpoint the reasons for errors in building large scale react or next applications.
Sometimes the actual reason is completely different from what you think.
Before ai, devs had to search the whole web.
Now its just a prompt away🤷♂️