Planvo – a free goal tracker with social discover and analytics

Hacker News

Hi HN, I built Planvo.xyz , a web-based goal & habit tracker that’s fast, polished, and completely free. What makes it different from the usual trackers: social discovery and detailed analytics. Why I built it Most goal trackers fall into two camps: Simple habit apps with no depth Complex productivity tools locked behind subscriptions I wanted something lightweight but powerful — with the ability to explore other people’s goals for inspiration and get data-rich feedback on my own progress. What makes Planvo unique Social discovery without pressure: Share goals publicly, browse what others are working on, and “like” goals you find inspiring. It’s less about competition, more about motivation. Detailed analytics: 7-day sparklines, progress rings, streaks, momentum tracking, activity heatmaps — a visual-first way to see where you’re winning or stalling. Goal resets by timeframe: Daily, weekly, monthly, or yearly — each resets automatically, so short-term and long-term goals feel natural. Combination of tracking + journaling: Every progress update supports notes, so you get both numbers and narrative. Core features 50+ goal templates (Health, Study, Career, Finance, etc.) Real-time dashboard with visual progress trends Rich journal system tied to each update Mobile-optimized, touch-friendly web app Privacy-first by default (public sharing is optional) 100% free, no ads, no freemium tiers Try it out https://planvo.xyz I’d love feedback from HN on two things: What would make the social discovery feature more valuable? What analytics/insights would help you stay consistent long term? Thanks for checking it out

Visit product View on Hacker NewsSep 25, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, visual, activity · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, month, monthly · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, subscription · Missing: mrr, revenue, profit

21%21% 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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