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Sprites – create online infographics with ease

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Sprites – create online infographics with ease

(there was a "Show HN" post about Sprites a while ago but I though it would be good to re-iterate since we've added some great features recently and also because my previous post went a bit unnoticed). Sprites (https://spritesapp.com) is a simple to use web app which allows you to create animated, visual, data-driven presentations (infographics). All presentations are pure HTML5 content and are fully responsive (from mobile to projector) and embeddable (just like GitHub gists, for example). Some other key features include: - Variety of building blocks (including good charting options). - Number of options for power users (custom themes using plain CSS, custom elements using JavaScript). - Data import from Excel, Google Spreadsheets or ordinary URLs. - Analytics (either built-in or using Google Analytics). - Public vs private (password-protected) content. - Ability to download your presentation as an image. - Free vs. Pro ($6/mo) subscription plans. We're actively improving the product and adding features (you can read about some of the most significant ones at our blog: http://blog.spritesapp.com). We launched (semi-officially) some time in January and we're currently a team of two: myself (I made the first version) and my friend (joined me in March to help on the engineering front). Here's a couple of examples of what you can make with Sprites: - "Dubai Airport", https://spritesapp.com/view/embed/1825 - "Time on Internet", https://spritesapp.com/view/embed/3384 - (more examples can be found here: https://spritesapp.com/examples). Visit us at https://spritesapp.com Any kind of feedback is very welcome! Pavel.

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
96%96% 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, visual · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, users · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription, active · Missing: arr, mrr, revenue
13%13% 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.

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