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AirTask PM, manage projects effectively

Hacker News

AirTask PM, manage projects effectively

Did you know that a standard Microsoft Project 2024 license costs a staggering €929.00 (for just one user)? It’s the absurdity of modern communication. In my workplace, MS Project files are sent back and forth via email, and only those with Project or Delivery Manager roles can actually access the plan without relying on exports or screenshots. In an era of OKRs and the push for clear, transparent, and motivating team objectives, many companies still make it difficult, if not impossible, to see the "big picture." That is why I’ve decided to take my experiments with AI and "vibe coding" to the next level. Introducing www.airtaskpm.com (2), an online tool designed to manage traditional project plans in both table and Gantt formats. At your pace: Full automatic scheduling. Breaking barriers: Cloud-based collaboration for the entire team. Respecting the past: One-click MS Project import. Baselines: Create plan versions and visualize real "slippage" between them instantly. Sovereignty & Privacy: 100% hosted in Europe (GDPR compliant). A "delete everything forever" button is always at hand. Care to join the beta and give me your feedback? (1) https://lnkd.in/eQBj3cVy (2) https://www.airtaskpm.com

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Launch Intel predictions

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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.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, email, visual · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: visualize, way · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
12%12% 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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