Templated – add a graphic editor to SaaS/App without rebuilding Canva

Hacker News

Hey HN! While building our own SaaS we kept running into the same problem: customers wanted a real design editor (think Canva/Figma-lite) *inside* their product, but rebuilding all that UI from scratch is a quarter-million-dollar distraction. So we turned our internal tool into *Templated Embed* — a drop-in image & PDF template editor you can add to any web app with an <iframe> tag. - What it does? • Full WYSIWYG editor for text, images, SVGs, brand colours, Google Fonts • Outputs static images (PNG/JPG), layered PDFs, or keeps the design JSON so you can re-render via API • Multi-page + multi-size templates (social banners, receipts, posters, etc.) • Webhooks & API to push finished designs straight to your backend • White-label mode and granular permission rules for end-users/teams - How to embed?  <embed src=" https://app.templated.io/editor?embed=YOUR_EMBED_ID " width="100%" height="100%" />

Visit product View on Hacker NewsMay 24, 2025

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

84%84% 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: google, user · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

61%61% 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 · Strong signals: google, users · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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