Sl

SlideScroll - Synced Mobile Presentations, all in JS/ HTML5

Hacker News

SlideScroll - Synced Mobile Presentations, all in JS/ HTML5

A friend of mine is launching his site today, help him get feedback. He built the initial version over a weekend and recently quit his job to pursue development on this. The application allows you to upload or create a presentation and then share it via a link. Anyone viewing the presentation can then watch the presentation as you synchronously move between slides.

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: presentations · Missing: mac, agents, macos
77%77% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
31%31% 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
16%16% 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
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

I
I spoke about d3.js and synced the visualisation to the video59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I spoke about d3.js and synced the visualisation to the video

Hacker News4
Co
Control your SlideShare presentations via your mobile49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Control your SlideShare presentations via your mobile

Hacker News2
Bu
Build presentations with Reveal.js and Scala53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Build presentations with Reveal.js and Scala

Hacker News20
Pr
Presentations for your webcam, not a projector64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Presentations for your webcam, not a projector

Hacker News246
Ma
Mazetec – Introducing group synced interactive branching presentations57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mazetec – Introducing group synced interactive branching presentations

Hacker News1
Sl
Slick.js, embed presentations speakerdeck style54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Slick.js, embed presentations speakerdeck style

Hacker News2
Fl
Flow2 – We rebuilt presentations mobile first62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Flow2 – We rebuilt presentations mobile first

Hacker News3
St
Stellar.js53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stellar.js

Hacker News3
Ta
Tasskr remade with backbone.js47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tasskr remade with backbone.js

Hacker News2
sm
smooth_operator.js53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

smooth_operator.js

Hacker News2