I ve been so heads-down building, I completely lost track of the calendar. I woke up this morning, checked my notifications, and realized Datastripes Lens is live on Product Hunt... and it s actually going super well!
If you haven't seen it yet, Datastripes Lens is your personal data analyst, right in your browser.
As founders and builders, we spend so much time crafting our products, but communication precision is equally crucial, whether pitching investors, writing copy, or leading teams.
Hey everybody! Happy New Year! @Climate Savers is now live on Product Hunt. We are building a social-fintech platform to help you save money and get rewarded for living sustainably, giving you climate agency by empowering you to vote with your money.
We ve improved change tracking in Bult.ai with a Canvas view.
You can now see all uncommitted changes in one place, review what s about to be deployed, approve or discard changes, and roll back when needed. It makes fast iteration safer and deployments more predictable.
Just wanted to send a note thanking you all for your support! And please don't hesitate sharing your feedback, and ideas of what you would like to see in nexts updates! Muchas gracias
We weren't accepted into Y Combinator with our ProblemHunt. But I know a guy who got accepted this time. And he made 11 attempts. We'll try to do that too.
I ve been working with MongoDB for years, and one problem always frustrated me: even simple questions required digging through syntax, roles, pipelines, connection strings, and endless tab hopping.
So I built a small Python script to visualize my own production data. That script kept growing first into a local dashboard, then into an NLP layer to write queries for me, then into a full UI.
That project eventually became Hubble an NLP-based MongoDB explorer.
When designing our AI features in Weather mini 3, we avoided third-party cloud services and heavy local LLM setups. Instead, we rely on what s already built into users devices no accounts, no downloads, no configuration. The goal is simple: a truly easy, just works experience that s good enough to be useful in real life.
Polym is an audio app to improve retention and recall of foundational knowledge, such as: logic, math, psychology, economics, computer science, philosophy, history, and more.
For those always learning, I think below articulates how Polym can help:
Lately, I have been experimenting with how to feed context into GPT models more effectively.
For example, when fine-tuning or working with larger context windows, I have noticed that the dilemma is in organizing the surrounding information, rather than the prompt itself. Last week, I came to know that it's called Context Engineering.
