Self-Service AI market research platform
Unbiased consumer insights with scalable AI personas
Self-Service AI market research platform launched on May 4, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
PersonaHive is an AI-powered market research platform that helps teams test ideas before they go to market. Using synthetic personas calibrated on over 2,400 real survey baselines, the platform delivers insights with up to 95% validated accuracy. Teams can evaluate ads, product features, pricing, and messaging in minutes instead of months. PersonaHive removes panel fatigue, reduces bias, and gives organizations scalable, data-backed insights to support faster and more confident decisions.
AI market research with synthetic personas and surveys grounded in real consumer data. Run trusted studies in minutes. Rapid and reliable.
PersonaHive runs rapid, reiterative, and reliable AI consumer research using synthetic personas calibrated to national census data. Test pricing, concepts, messaging, branding, and positioning in minutes — for enterprises, agencies, andfrom personahive.ai
Pricing, as stated on its site
Free tier, paid plans from $49/mo — Free plan with 250 credits. Paid plans start at $49/month (Starter with 2.5k credits). Higher tiers at $199, $599, and $2,499/month. 20% discount available on annual plans.
checked September 2026 · prices change
Does a similar job
all alternatives →
AI Persona Generator by GETitOUT2022 · getitout.io · ▲314Build detailed buyer personas at light speed




More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com