Weave
Al Engineering and token intelligence to optimize the SDLC
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The fear-conquering bit in the video actually made me watch to the end, which is more than I can say for 99% of Series A announcement clips. Whoever edited that earned their paycheck.
Tokenmaxxing psychosis is the funniest possible category name and I hope you never let marketing sand it down.
Cool cool but where are the docs, rate limits, and a self-serve tier? Half of us can't get procurement to sign a Series A vendor contract before Q3.
ok wait, is this evals, routing, caching, or all three wearing a trench coat? The site is vibes-forward but I need a picture of the boxes and arrows.
First 3 seconds of the video: guy staring into void. Retention hook is elite, whoever storyboarded this understood the assignment.
Respect for putting the founder on camera doing something uncomfortable instead of another whiteboard voiceover. The genre needed a shakeup.
Every MLOps company says they save you millions on tokens. I'll believe it when I see a real bill diff, not a marketing dashboard screenshot.
Staff eng question: is the optimization layer inline on the request path or async? Because one of those numbers is a latency graph I actually care about.
We had an internal thing called TokenTrim in 2019 that did like 30% of this. Died in a reorg. Glad someone is actually shipping it to customers.
Pricing page is suspiciously absent. If you're saving me millions I assume you want a cut, so just tell me the cut.
Building adjacent in the eval space and honestly the token-intelligence angle is a smart wedge. Slightly annoyed I didn't frame mine that way first.
Curious about the like-to-view ratio on that video, it's punching above its weight. The bungee gag is doing a lot of work.
This might legitimately be the last dev tool launched without an agent doing the demo. Enjoy the vintage era while it lasts.
hot take: 'AI has taken over engineering and companies are wasting millions' is the single most fundable sentence of the year.