We are building Figma for developers

Hacker News

What is Symbols? “The ultimate platform for developers & teams to build, test and document fully functional & reusable UI libraries on a canvas. Publish as a website or export to your existing tech stack with open-source development” Currently in beta access. Comes with access to 900+ UI components Build any website or add new functionality to existing web projects in minutes. From landing pages to SaaS applications. Lifetime offers We are currently running one off offers for the first 100 users from $49 USD, which includes unlimited projects or users for 1 project. Eventually charging $49 per month per user/project, as design system platforms charge a similar amount. So grab a deal! Here is a quick landing put together, with a better one in the works :) https://symbols-beta.framer.website/ Any questions let me know!

Visit product View on Hacker NewsAug 16, 2024

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Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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

92%92% 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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released

67%67% 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: month, users · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · 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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