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Goals and KPI tracker with metric forecasting

Hacker News

Goals and KPI tracker with metric forecasting

Hello HN, Beacon is a goal and KPI tracking tool. What makes it different is that it uses metric forecasting to objectively determine if you are on track to achieve your goals. We built Beacon to empower product development teams. Specifically, we wanted to tackle two areas that hold back teams from building products that solve their customers' needs: 1- Top-down decision-making 2- Detached product development teams These issues are often due to the company culture, but after being an individual contributor and manager in engineering and product teams, I experienced firsthand how the tooling we use exacerbates this. So, I decided to build tools that fix this issue. Beacon makes goal-tracking objective and data-driven. It makes it easy to set product goals, track progress towards those goals, and forecast if you are on track. Our thesis is that this creates a virtuous product development feedback loop. We initially released this as a Jira add-on, but we updated the tool to work standalone. Our plan is to make Beacon a must-have tool for data-driven teams, breaking the silos between roadmaps, project management tools, and analytics systems. Thank you for all your feedback.

Visit product View on Hacker NewsFeb 15, 2024

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: project management · Missing: mac, agents, macos

69%69% 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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, 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

41%41% 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 · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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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