moda-2
Finally, AI designs you can edit
Moda
Finally, AI designs you can edit
moda-2
Finally, AI designs you can edit
Finally, AI designs you can edit
v0 was already useful; now Vercel wants to know if 'useful' can become 'indispensable' before the enterprise window closes.
The supply chain attack problem is real, unglamorous, and quietly getting worse — and Koidex just built a search bar for it.
Running your own AI assistant used to mean managing servers. Clawi wants to make that someone else's problem.
Every AI writing tool I've tested still makes me leave whatever I'm doing. TypeBoost is betting that's the whole problem.
Everyone is building AI email tools. Revo is betting that connecting your inbox to everything else you already use is the part everyone else forgot.
Most productivity tools try to stop you from wasting time. Shepherd just shows you how much you already have.
Codex isn't really a coding tool anymore — it's a staffing layer, and that's either exciting or terrifying depending on how many engineers you employ.
Everyone has a notes app graveyard of prompts they'll 'definitely reuse.' Prompt Library is betting $6.35 that there's a cleaner way.
Every AI assistant claims to save you time. Tidy is the first one I've seen that admits it needs you to teach it first, and somehow that's the most honest pitch I've heard all year.
Documentation is the work everyone agrees matters and nobody wants to do — Trupeer is betting that vision-based AI can close that gap.
Voice-to-text has been around long enough to feel boring — Monologue is betting the problem was never transcription, it was everything that came after.
A Mac utility that binds AI actions to keyboard shortcuts is either the missing layer the power-user crowd has been waiting for, or another tool that sounds great until you realize you have to set it up yourself.
Multilingual meeting AI is a real problem with real incumbents — the question is whether Doraverse has found a wedge or just a feature.
Everyone wants an AI agent that texts them back on WhatsApp. Almost nobody wants to spend a weekend debugging Python environments to get there.
When Arc pulled back, it didn't just leave users without a browser — it left them without a workflow.
Atomic Bot wraps a genuinely powerful AI agent framework in a one-click macOS app — which is either brilliant product thinking or an elaborate wrapper in search of a moat.
Making a software walkthrough used to mean an afternoon of bad takes and worse audio. Guideless is betting there's a better default.
GPT-5.3-Codex can steer itself through long-running computer tasks, beat the current benchmarks, and — according to OpenAI — debug its own training runs. The question isn't whether that's interesting. It is.
Reading an article about an industry you barely understand and pretending you get it is a very specific kind of professional anxiety — and someone finally built a product for it.
Zero config, zero login, zero patience required — PinMe is betting that the hardest part of shipping a frontend is everything that comes before the actual shipping.
Voice-to-structure apps are a crowded bet, but Sway's refusal to be a transcription tool might be the only interesting thing about the category right now.
The moment before you share your screen is a specific kind of panic, and someone finally built a product for it.
The pitch is almost aggressively simple: write a prompt, get a link, share it anywhere, on five different AI platforms at once.
The hardest part of AI agents isn't getting them to act. It's getting them to act the right way, every time.
Another AI email tool, yes — but the design decision to live inside your existing inbox instead of replacing it might be the only one that matters.
Every accessibility tool I've ever tried solves half the problem, and Hearica is making a bet that the other half is where the real need lives.
Every digital agency I've ever talked to has the same problem: client assets living in Slack threads, random Google Docs, and someone's brain who just quit.
The job market is soft, ATS systems are broken, and a Carnegie Mellon-connected team thinks structured project portfolios are the answer — at least for tech candidates who can actually show their work.