591–600 of 1001 posts
If I make a really good AI coding platform which saves people hours compared to existing platforms and provides more security. The chance of success is 0 because it's competing with incumbents.
If I make an app which allows cats to order food and back massages from their owners, this has a high chance of success.
building out a simpler way for users to report bugs and provide developers with a context-rich environment (console/network logs) that makes fixing bugs easier.
eagerly looking for beta testers, join our waitlist
Mini canva alternative
Then I decided to hack my own ZigBee power meter (to keep track of my meter’s LED pulses) and fought with CMake for eight hours straight, because embedded.
It was a nice weekend.
Lineage-aware. Versioned. Trustworthy Data - for Engineers and AI.
Your engineers waste up to 40% of their time monitoring, investigating and fixing data. Even then you don’t trust the accuracy, source, or freshness of metrics on your dashboard. You wish AI can answer your data questions but it cannot show you proof, or where it came from. AI helps software engineers to move fast and break things, because they can always rollback, with git. But you cannot do that for data. Bad data entering the system, spreads across the company before spotting, and takes weeks to clean up.
DV changes this, giving you lineage-aware, versioned data. It records data-lineage when data is captured, transformed, and committed, at commit/snapshot level. So when things break, DV knows what other data is impacted downstream, and it can rollback the whole chain to the previous state, instantly - no data copy/restore needed. It can also backfill the data across the chain automatically.
With DV, both your team and your AI agents can finally see: - where data came from - how it was transformed - how to revert safely with a single click
Your engineers can move fast on data, without breaking trust. Your analysts can build pipelines by simply describing business questions to AI.
DV is Git for data, so you can focus on your business, putting analytics on auto pilot.
-- Please contact me if you are interested in preview program.
Also PolyGen, an app for “low poly” wallpapers - I’ve sent an update with bug fixes for latest devices and iOS versions; it’s currently being reviewed, when you read this it might be live.
I've building PaaS focused on development environments. I think there are so many things to be improved all throughout the development process:
1. starting from creating new ones
2. forking existing one (like one would do with the git repo) to experiment with new ideas or debug the issue in an isolated environment
3. being config defined and reproducible
4. hybrid by default - run as much or as little one desires on their personal machine while keeping rest of the env (db, storage, ...) in the cloud
5. easy to share: expose services (HTTP/TCP/UDP) on public or private networks
6. have any number of AI agents with specific goals be part of the dev env