Chipmaker Nvidia announced this week it will be investing up to $100 billion (with a B) in OpenAI to help it build out its computing power. This follows OpenAI s move earlier this month to buy $300B in computer power from Oracle.
Every now and again you hear a line in a podcast, book or from a boss that sticks with you. For me, it was:
People don t want your time. They want your energy.
Fifteen minutes of full focus beats thirty minutes half-scrolling your phone. That same idea is shaping how we re building @Meet-Ting - not just another scheduling tool, but a more emotionally intelligent scheduler.
Exciting milestone to share: Triponic has just been featured by DesignRush as one of the Top AI Productivity Tools of 2025!
For those who don t know us yet, Triponic is an AI travel assistant that saves hours of planning by generating personalized, polished itineraries in minutes, including flights, hotels near business districts, transfers, and even downtime activities.
Niles now includes all the features you can think off - visual editing and themes selection, API calls and third party integrations, backend functionalities and more, in the free tier! You can actually see how the entire app will work, end to end! See for your self: https://app.niles.dev/
No matter what you're building, investors new favorite question: "What stops OpenAI from doing this?"
For @Migma AI: we operate on the software layer while OpenAI provides the foundation models. they re pushing toward AGI, not building specialized vertical products. email requires deep integrations, brand learning, cross-client rendering, and a compiler we built in-house. OpenAI won t spend years perfecting how 40+ email clients render html but that s exactly our edge. Look at how they acquired @Windsurf for billions: instead of building vertical products themselves, they buy proven software players. we re in that category. Now tell me: what stops OpenAI and giants from doing what you're doing?
Super excited to share that Xfrate TMS is going live on Product Hunt!
If you ve ever been close to logistics, you know how messy the mid-mile can be:
Endless calls & WhatsApp messages with transporters ,Spreadsheets everywhere ,Dispatch inefficiencies that drain both time & money, Zero visibility once the shipment leaves the hub.
I spend a lot more time on PH at the moment to see what indepedent makers are spending their time on. I've noticed some patterns and also want to share a little bit about my journey at South Park Commons. Most startup stories begin at zero when there s already a team, an idea, maybe even a prototype. But at South Park Commons (SPC), the philosophy is different: people gather in the -1 to 0 stage. That liminal space where you don t yet know what you re building or even if you should build at all. It s a place for exploration, experimentation, and being brutally honest about what s working and what s not.
A hallmark of SPC is how often industry leaders drop by to share what they ve learned in the wild. Recently, I was in a small chat with Tyler Payne former Google and LinkedIn AI lead, startup builder, who has spent the last decade helping teams actually ship real-world ML systems. We're always talking about what's being launched at SPC.
I renovated and launched DevDiary, a free VSCode Extension that tracks your dev routine locally and generates a complete Programmer Profile that judges your habits badly.
Two things are missing nowadays about VSCode time tracking: free and local. I don't want to be tracked by online services, so I developed DevDiary.
What if you could simply describe your dream automation and have it built, ready to use, in minutes?
We've built Broxi from the ground up to be powerful yet incredibly simple. Describe your goal, and our Broxi Autopilot handles the rest, transforming your text into a fully functional AI agent.
We d be incredibly grateful if you could check out our page, support us, and share your feedback!
Ask AI can now combine information from your inbox, your calendar, and the web. You can then draft emails in your own voice and tone, schedule events when you re free, and send all in one ask!
I shipped LangFast out of frustration with the existing tools.
Prompt testing and LLM evaluations should be simple and straightforward. All I wanted was a simple way to test prompts with variables and jinja2 templates across different models, ideally something I could open during a call, run few tests, and share results with my team.
TurboLens today announced a major upgrade to DocumentLens, its AI-powered document intelligence platform. With the introduction of a new Document Parsing capability and a deepened focus on Southeast Asia, DocumentLens is now one of the most powerful solutions for businesses handling the region's complex documents.
This enhancement introduces a powerful duo of capabilities:
Document Extraction: Intelligently pinpoints and pulls key data like invoice totals, customer IDs, and line items turning messy documents into structured, database-ready information.
NEW Document Parsing: This brand-new feature digitizes entire documents with high-accuracy OCR, making every word searchable. It is the perfect tool for digital archiving, compliance, and preparing data for LLMs.
