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Rank And File – a platform for employee activism

Hacker News

Rank And File – a platform for employee activism

Friends, HNers , countrymen: tl;dr Employee Unions are dead (non-existent in tech). A collective where employees own shares in the company they work for should give a voice to the employees with the management. I am happy to launch Rank And File, a platform for employee activism. Think Institutional Investors but instead of suits, it is employees who own a large number of shares in their own company and act as a collective. R&F aims to provide a private forum for employees to discuss company policies and act as a platform where employees can connect with legal experts and activists who will help them. what aspects of this do you think can work? What won't?

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
56%56% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% 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
20%20% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
17%17% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Correct prediction on native model

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