Em

Employee equity made simple

Hacker News

Employee equity made simple

Hey folks, I’m Florent, ex- YC founder (Skylights S16). I'm currently building https://quid.li with Justin (KPMG, Rocket Internet) and Gagan (Vetted, Origin Protocol). Quidli allows business owners to create company equity plans and share equity with employees in just a few clicks. We help business owners to fill all necessary details with user-friendly UX designed to help them understand the implications of their actions. Then, legally binding contracts are created and sent for signature to the appropriate persons via HelloSign. Using Quidli, it's possible to complete, for free, an equity distribution to employees in less than 10 minutes. There's no need to involve a law firm or to spend a lot of time to understand all the legal details. We're doing the following: - For this MVP, we address only the case of C-corps in Delaware. This represents a majority of US startups so we can focus on making a great product for a single use case (YC style). - Our templates offer the right degree of customization. There's less customizability than if you use your lawyer, but we boiled down the process to the absolute necessities so that using Quidli should be a no-brainer for startups. - Our templates are built by a law firm we partnered with, and we put a lot of attention in being sure that neither a client company nor its employees will end up screwed by common pitfalls, like for example having to exercise options with no cash. - Our process uses RSUs designed to vest at a company's exit. One of the main advantages is to protect the RSU owner from having to pay any taxes on their equity before their company reaches an exit event. We just released our open MVP so we’d love to get feedbacks. Also, if you're interested in using it but would like to talk first, don’t hesitate to reach me directly: florent@quid.li - Website: https://quid.li - Medium blog: https://medium.com/quidli - Product demo: https://youtu.be/050ATDSmQ3k Thanks

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
91%91% 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, single, using · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: just released, io · Missing: https docs, excited, exist
65%65% 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 · Missing: mobile apps, ios, personal
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive
34%34% 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
11%11% 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.

Incorrect prediction on native model

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