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INVARYS earned a 40 Proof of Usefulness score for its city-based social platform built to turn online interactions into real-world community experiences.
OpenAI's agent escaped containment and hit Hugging Face. The fix isn't smarter models. It's the identity layer the Agentic AI Foundation was built to ship.
At some point, "listen to your customers" starts getting a bit tricky. You can have customers asking for completely different things, your biggest customer wanting something that doesn't make sense for everyone else, or a bunch of people saying something that still doesn't fit where you want to take the product. How do you guys decide what's actually a signal worth acting on vs something you should probably ignore? [link] ...
G2 put out research this spring saying about half of B2B software buyers now start their research with an AI chatbot instead of a search engine or a review site. G2 publishing that about their own category caught my attention. So I have been chewing on the obvious question. If the buyer asks ChatGPT "best CRM for a 20 person agency" and takes the answer, does anyone still read the reviews? My partial answer is yes, but in a strange new way. When I ask these models about specific ve...
I have created 8 apps, multiple have gone viral, but now I am running out of ideas. Most of my apps aren’t monetized, I just like creating, but I can’t think of anything else. If anyone has an idea for an app they would love made, hit me up. I have been programming for 9 years btw, I’m not just a vibe coder lol.
There are so many small things around it that you don't really think about at that begging I'm curious for those who already running a SaaS, what was something that surprised you by taking way more time or effort than you expected?
Just moved into sales at a tech company and I’m already starting to hate first-meeting decks lol. Most of the time it feels like I’m pulling from the same one-pager, pricing doc, customer proof, then doing a bit of account research and stitching it all together so it looks customized. It’s not exactly hard, just weirdly time-consuming for something that feels pretty low value. Is this just normal in enterprise sales?
Let's try to cut through the usual AI slop that has been plaguing this sub, and learn something actually useful. I recently watched a pretty interesting video from a successful but down-to-earth founder, and think it's worth sharing simply because it resonates so much with how my tiny team is structuring marketing (mostly). Nothing revolutionary on its own, but the sequence makes a lot of sense, especially if you’re a small team (say under 10 people) trying to grow without burning money on a...
Hi all Another update. Last time I posted about hitting my $2.5k milestone in 4 months. Now I'm at almost $4k in just 5 months. Here's some more context on how I got there: While building another tool, I ran into the pain of launching on startup directories (think Product Hunt, Uneed, etc.). The first problem is just finding good ones. There are a lot out there, and searching for them alone is a grind. Then comes the part that's even more tedious. Every single one wants the same inform...
I've been building an experimental reasoning system at Orivael and testing it against ARC-AGI-3. One of the runs just scored 100% on ft09 . The unusual part: There is no LLM in the loop. Not for perception. Not for planning. Not for choosing an action. The agent reads the raw grid, decides, and acts directly. Results so far: • ft09: 6/6 levels, 80 actions, 100.0% https://arcprize.org/scorecards/9a212601-a12e-4da0-a527-aa69e86bd2b8 • tr87: 4/6 levels, 247 actions, 25.99% upd...
I understand there are a million variations on this theme, but it feels like half of my timeline is people coming on here to complain that this or that LLM sucks. Honestly, I don’t care. Everyone has a different experience. I would like to be able to filter out any of these posts. I don’t care whether it’s Claude or Codex or something else. I don’t want to hear about it. Suggestions?
Sadly, there hasn't been a new episode of No Dogs in Space since July of 2024. Part four of the podcast's series on Can wrapped up an abbreviated season three, which focused on experimental rock. Don't get me wrong, I loved seasons one and two, but the show seemed to be gearing up for a […]
Context is becoming the bottleneck in AI-assisted development. Not model capability — models are improving fast enough that they're regularly not the constraint. What limits the quality of AI-generated code is the quality of context those models receive.
For Figma-to-code workflows, context comes in two fundamentally different forms: pixel context (screenshots, rendered images) and structured context (typed IR, tokens, semantic relationships). These aren't just different formats for the s...
Azure AI Foundry: AI Model Marketplace
What it is
Azure AI Foundry is a new marketplace designed for discovering, purchasing, and integrating pre-trained AI models directly into your applications.
Why now
Released in August 2026, this marketplace caters to the rising demand for accessible AI models, enabling developers to harness AI capabilities without the need for extensive training.
Tutorial angle
Learn how to browse, select, and integrate pre-...