Today's models are capable enough. Smart enough. Fast enough. But we still feel they don’t fit in the room. Humalike is building the behavioral infrastructure for humanlike AI agents. The social skills & proactiveness your agents have been missing. APIs, models, benchmarks.
What is Humalike? The behavioral infrastructure for humanlike AI agents. The social skills your agents have been missing.
The problem A few months ago we built an AI community manager. The second it hit a group chat, everyone knew it was a bot. It talked over people, never knew when to shut up. More features didn't fix it. Today's models are capable enough. Smart enough. Fast enough. But we still feel they don’t fit in the room.
The solution: 7 behavioral APIs
Turn-Taking (Flagship): Knows when to speak and when to stay silent (bundles all other APIs in one).
Theory of Mind: It gives your agent a sense of what people really think and feel.
Norms: Reads the group’s tone and responds the way it’s accepted here.
Persona: Improve presonality so it’s Opinionated, takes sides, backed by real community data
Social Memory: It gives your agent a memory for people, who they are and what matters to them.
Social Signals: Catches the pause before sending, a removed reaction, and an edited message.
Social Observability: Sees who’s engaged, who’s bored, and who’s annoyed.
Model, use-case and stack agnostic, built for groups, not just 1:1.
Extra highlights
💸 $20 in free tokens to start building
🔌 One-shot integrations with Hermes, WhatsApp & Telegram
📄 Backed by in-house research: LoSoNA (social-norm benchmark) + HUMA (a human-passing group facilitator)
🔒 SOC 2 / ISO 27001 in progress
Who It's for: Anyone building agents that must feel human, AI companions, NPCs, tutors, voice agents, groups, humanoids. If you've ever shipped an agent that was smart but experience using it felt wrong, Humalike is for you.
What we'd love from you: Grab your $20 in tokens, and tell us, how did our APIs improve the experience? Try with Hermes, Openclaw, or any agent you have deployed! We'll be here all day reading every comment, your feedback shapes what we ship!
Backed by the first investors in ElevenLabs, Revolut & more. Built by a tiny 🇪🇸×🇵🇱 team that hasn't slept much :))
Can developers tune how proactive or reserved an agent behaves for different communities?
The "groups, not 1:1" framing is what got me.
I run a 2k-person Discord and tried putting an agent in the busy channels. In a 1:1 DM it's fine — but the moment 5 people are going back and forth, it either spams every message or freezes and says nothing. There's no in-between.
So my question on Turn-Taking: in a fast group thread, is it scoring "should I speak right now" per incoming message? Or does it hold a running read of the whole conversation and wait for a real opening?
And can I bias it toward "lurk more" — for a channel where I only want it to chime in occasionally?
The behavioral angle feels really fresh, not just another wrapper around an LLM. The proactivity piece is what stood out when I poked around, agents actually initiating instead of waiting on prompts.
Social intelligence is exactly the layer that separates a demo from something a business will actually put on the phone. In production the failures are almost never 'wrong answer' - they're tone, over-promising, or not knowing when to shut up and hand off to a human. How are you measuring 'social' correctness? That's the part that's brutal to eval. Congrats on the launch.
Congrats on the launch, this is such a sharp problem to tackle!! The Social Signals piece hit home for me, on the recruiting side we run into the exact same thing: a candidate going quiet after a great call, or an interviewer's one line notes not saying what they actually mean. The signal is almost always there, it's just messy, not absent. Curious how much of Turn Taking transfers from group chats to something like a one on one interview flow?
This is very cool and very needed! I tried testing the apis and ran into some issues (just sharing) but I will come back later and try again. Can't wait to implement into our agents.
The social memory piece is what stands out to me - most agent frameworks treat every conversation as stateless, so an agent forgets it already annoyed someone yesterday. Curious how you handle memory decay though, do old signals about a person just fade over time or does everything stay weighted the same forever? Congrats on the launch.
I'm soo interested in this! I find myself using "please" and "thank you" with agents all the time; however, when I'm hit with a 50-page response, I quickly realize my courtesy means nothing haha. Maybe this will ease my pain!
Framing AI social skills as infrastructure rather than a feature is the real unlock here, most teams bolt on personality as an afterthought but treating turn-taking and social memory as primitives changes how you architect agents from day one.
Congrats on the launch! This hits close to home. The gap is never how smart the model is, it's exactly what you're describing: agents that don't read the room. Turn-Taking and Persona look genuinely useful for our customer-facing agents. Grabbing the free tokens now, how hard is it to wire the WhatsApp integration into an already-built agent stack?
One quick question: i feel that knowing when not to speak is what always gives bots away in group chats rather than the opposite. Does it work out of the box, or do you have to tune it per community?
Congrats on the launch! How does this play with the one-shot integrations? I'm thinking about testing with WhatsApp groups where context switches constantly, does the agent keep social memory across platform boundaries if the same group moves between channels?
Amazing stuff!
Are you guys planning on launching a separate agent, or just the API's?
The strongest version of this is not making agents feel more human; it is helping them know when not to act. Turn-taking, memory, and observability are exactly the boring layers that make an agent usable in a real group instead of just impressive in a demo.
Interesting... may test this with the RAG system I built. Good luck with the launch!
the turn-taking and social observability APIs make sense to me, but persona/norms feel like they could go wrong in a way that's hard to detect. if the agent reads the room and picks a side or a tone to fit in, how do you catch it drifting into something the team didn't actually want, before a customer sees it
Social intelligence feels like a missing layer for many agents. Tool use is getting better, but reading context, timing, and group dynamics is what makes an AI teammate actually feel usable.
Congrats! How does social memory balance personalization with user privacy? can users control what the agent remembers?
Congratulations on the launch! How does Turn Taking decide the best moment for an agent to join a conversation? does it adapt differently for fast moving group chats? really curious about the underlying approach.
About Humalike on Product Hunt
“Give your AI agents the social intelligence they're missing”
Humalike launched on Product Hunt on July 1st, 2026 and earned 345 upvotes and 95 comments, earning #2 Product of the Day. Today's models are capable enough. Smart enough. Fast enough. But we still feel they don’t fit in the room. Humalike is building the behavioral infrastructure for humanlike AI agents. The social skills & proactiveness your agents have been missing. APIs, models, benchmarks.
Humalike was featured in API (98.3k followers), Developer Tools (515k followers) and Artificial Intelligence (472.4k followers) on Product Hunt. Together, these topics include over 188.4k products, making this a competitive space to launch in.
Who hunted Humalike?
Humalike was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Humalike stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
Hey PH 👋 Martí here, co-founder of Humalike.
What is Humalike? The behavioral infrastructure for humanlike AI agents. The social skills your agents have been missing.
The problem
A few months ago we built an AI community manager. The second it hit a group chat, everyone knew it was a bot. It talked over people, never knew when to shut up. More features didn't fix it. Today's models are capable enough. Smart enough. Fast enough. But we still feel they don’t fit in the room.
The solution: 7 behavioral APIs
Turn-Taking (Flagship): Knows when to speak and when to stay silent (bundles all other APIs in one).
Theory of Mind: It gives your agent a sense of what people really think and feel.
Norms: Reads the group’s tone and responds the way it’s accepted here.
Persona: Improve presonality so it’s Opinionated, takes sides, backed by real community data
Social Memory: It gives your agent a memory for people, who they are and what matters to them.
Social Signals: Catches the pause before sending, a removed reaction, and an edited message.
Social Observability: Sees who’s engaged, who’s bored, and who’s annoyed.
Model, use-case and stack agnostic, built for groups, not just 1:1.
Extra highlights
💸 $20 in free tokens to start building
🔌 One-shot integrations with Hermes, WhatsApp & Telegram
📄 Backed by in-house research: LoSoNA (social-norm benchmark) + HUMA (a human-passing group facilitator)
🔒 SOC 2 / ISO 27001 in progress
Who It's for: Anyone building agents that must feel human, AI companions, NPCs, tutors, voice agents, groups, humanoids. If you've ever shipped an agent that was smart but experience using it felt wrong, Humalike is for you.
What we'd love from you: Grab your $20 in tokens, and tell us, how did our APIs improve the experience? Try with Hermes, Openclaw, or any agent you have deployed! We'll be here all day reading every comment, your feedback shapes what we ship!
Backed by the first investors in ElevenLabs, Revolut & more.
Built by a tiny 🇪🇸×🇵🇱 team that hasn't slept much :))