Solve your legal problems

Hacker News

As a lawyer, my friends regularly ask me for help with their businesses' legal problems. Most have common issues, like deciding where to incorporate or whether to change a contract. It would take valuable hours away from their business to find a good, affordable lawyer; it would take even longer to solve the problems themselves. I built PlainLegal to make it easy for startups and small businesses to solve their legal issues. PlainLegal's streamlined process connects you with our group of prescreened lawyers so you don't have to waste time looking for the right lawyer through Google searches or personal referrals. Our goal is to quickly connect you with the right lawyer so you can get back to business. Once you contact us, PlainLegal's team works directly with you to understand your legal issues. We will then show you a personalized list of lawyers so you can pick the one that's best for you. We've selected lawyers to be part of PlainLegal based on their qualifications and ability to communicate clear, actionable steps in plain English. Each lawyer has at least 4 years of experience and understands start-ups and small businesses. Some are even entrepreneurs themselves. If you have any questions during the process, our team is always available to provide support and make sure your problems are solved. We are launching our alpha today for startups and small businesses based in New York. Get started now at www.plainlegal.com.

Visit product View on Hacker NewsSep 10, 2013

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, plain · Missing: mac, agents, macos

80%80% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

62%62% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, entrepreneurs, google · Missing: mobile apps, ios, apps

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: lua, ide, io · Missing: https docs, excited, just released

38%38% 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

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.

Incorrect prediction on native model

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