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Niceform – a simple Typeform alternative with flat pricing

Hacker News

Niceform – a simple Typeform alternative with flat pricing

Hi HN I’m Vikram. Over the last few months, I built Niceform, a lightweight alternative to Typeform focused on simplicity and predictable pricing. I like interactive forms, but in practice I ran into: Pricing that scales with responses, not value Overly complex builders for simple use cases Difficulty using forms as part of SaaS workflows So I built Niceform with a few core principles: Flat pricing (no response-based limits) Clean, minimal form experience Fast setup for common SaaS use cases (leads, onboarding, surveys) API + webhooks to integrate with existing systems It’s still early, and I’d really appreciate brutally honest feedback, especially from engineers: Does the UX feel fast and intuitive? What would you expect from a modern form API? What would stop you from switching from your current tool? Demo / site: https://niceform.io Thanks for taking a look happy to answer any technical questions. — Vikram

Visit productView on Hacker NewsDec 28, 2025
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, builder · Missing: plus, platform, reviews
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas, active · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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