
PingPolls
AI Forms that feel natural, not just conversational
146 followers
AI Forms that feel natural, not just conversational
146 followers
Forms shouldn't feel like an interrogation. We built this platform because as fellow researchers, we are tired of "walls of questions" that look like homework. PingPolls changes the game by mimicking the interface people actually like using: chat. It feels natural, not just conversational. You can type answers or even leave voice notes, just like you would on WhatsApp. The result? A form that people don't just open, but actually finish.
This is the 2nd launch from PingPolls. View more
PingPolls v1.0
Launching today
Forms feel like paperwork. PingPolls makes them feel like a chat. We replaced stiff inputs with a natural messaging UI and AI voice notes to boost response rates. Includes Certiscore™ for deep preference analysis and 'Ask AI' to chat with your results instead of reading spreadsheets.



Free Options
Launch Team / Built With





PingPolls
Product Hunt Wrapped 2025
This kills the homework-form vibe. Chat + voice notes feels right. Could get my mom to actually finish. Curious how it handles long answers and skips, and whether Certiscore is explainable. "Ask AI" to sift results sounds handy.
PingPolls
Congrats on the launch! Love how PingPolls turns “form fatigue” into chat‑native, insight‑rich surveys that people actually finish.
this is nice. one useful use case, which I'm not sure yet if its supported, is that I don't have to answer a form question immediately and I can chat with AI back and fourth to understand what the question is about more accurately if there is some confusion in it.
PingPolls
I think, at least from my perspective, this is the highest value feature a chat-based form app can provide.
minimalist phone: creating folders
The most playful design I have ever seen lately. It should be a part of some meetups, conferences and hackathons for spare time. :)
PingPolls
PingPolls’ “chat-first form + voice notes” + Certiscore™ (pairwise + reaction-time) is a smart way to reduce drop-off while still getting signal. How are you handling voice notes—streaming ASR with timestamps, or batch transcription—and do you store raw audio or only derived text? We dealt with similar “qual + quant” collection at scale and the data model matters more than the UI. Roadmap-wise, are you adding webhooks/CRM exports + per-question analytics? 👏
PingPolls
@ryan_thill thanks, appreciate that 👏
Right now we transcribe each voice note directly into raw text. even though our llm provider supports ASR timestamps, we intentionally skip them for now to keep things easy to read, since voice notes are mainly used inside paragraph-type inputs rather than as standalone audio data.
For the current sprint (around the next 2 weeks), we're trying to squeeze in the two most requested integrations first: google sheets and webhooks. moving pretty fast on that front hehe.
Also curious, when you say per-question analytics, what kind of metrics are you referring to?
Noodle Seed
PingPolls
@asadatnoodle Thanks a lot, asad! really appreciate the kind words 🙌