
LongCat-2.0 is a 1.6T MoE trained entirely on AI ASICs Uses a 1.6 trillion parameter Mixture of Experts architecture.
What it does well
- Uses a 1.6 trillion parameter Mixture of Experts architecture.
- Was trained entirely on custom AI ASICs rather than GPUs.
Where it falls short
- Public pricing details are not listed.
- Accessible only through the web platform with no native desktop or mobile clients.
Tagged
- Web-based
Compared with similar things
Picked by shared tags inside the AI Web Apps.
- 01→Willow Frontier Pro
The fastest, most accurate dictation model in the world
- 02→Ogment AI
Your AI coworker, in Slack. Just tag @O.
- 03→Cutrix
AI-powered video translation that preserves speaker's voice
- 04→LemonLime
Automates your existing workflows with a single prompt.
- 05→Mira
AI moderated interviews that read how people feel
- 06→Scribble Network
The product that makes AI recommend your brand
Related reading
- Where to Submit Your AI Tool
Submit your AI tool where people already search for one. Start with a niche AI tool directory (There's An AI For That, Futurepedia, and Vibedonalds for vibe-coded products), add a couple of general startup and SaaS directories, launch on one platform (Product Hunt or a smaller one like Uneed), and post in one community (a relevant subreddit or Show HN). Spread more directory submissions over the following weeks to get your first users.
Read guide → - How to Validate Your AI App Idea Before You Build It
The expensive mistake in the vibe-coding era isn't building the app — it's building the wrong one. You validate an AI app idea by talking to about eight people in your target market before you build, and listening for the single capability they all wish existed. That's your wedge. Higgsfield's founder did exactly that on the way to a ~$200M run-rate.
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Launch on Product Hunt by preparing for a few weeks: build genuine account activity, line up your assets and a supporter list, and ship at 12:01 AM Pacific (the daily reset) on a weekday. Reply to every comment all day, never ask for upvotes (say 'check it out'), and keep working the week after — that's where most of the lasting value is.
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</a>Frequently asked questions
- What is LongCat-2.0?
- LongCat-2.0 is a 1.6T MoE trained entirely on AI ASICs
- What platforms does LongCat-2.0 support?
- LongCat-2.0 runs on web.
- What category does LongCat-2.0 belong to?
- LongCat-2.0 is in the AI Web Apps category — Web apps with AI baked in — built for everything from journaling to research. Submitter-shipped products live here.
- What are the downsides of LongCat-2.0?
- Public pricing details are not listed. Accessible only through the web platform with no native desktop or mobile clients.