Mod&Dot, a web design and devtools extension

Hacker News

Mod&Dot is a new design tool for anyone who works on websites. This is an early concept and I'm looking for advice. https://mod-dot.com/teaser/ After a site launches, revising the design can be a pretty frustrating process. Designers have to learn git and command line. Or developers have to parse font sizes from redlined screenshots. Clients make printouts and draw on them. Etc. Mod&Dot gives a simple place to collaborate on website edits by saving & sharing changes made in DevTools. Anyone can add comments without using DevTools, too. What do you think? Would love some input.

Visit product View on Hacker NewsSep 27, 2018

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

73%73% 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.

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.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: collaborate · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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