Export/embed a Dropbox folder as a gallery

Hacker News

Hi all. I'm working on a small web app that lets you export/embed any Dropbox folder as an HTML gallery. Some technical details: The app requires full Dropbox access, but this is only to get a list of folders and navigate through them. No files are stored on my server, everything is done through Dropbox and your browser. The whole things is done in javascript/jQuery using the "official" javascript implementation of the Dropbox API (https://www.dropbox.com/developers/core/sdk). Usage: After logging into Dropbox and connecting the app, choose a folder with images you want to use. After it's loaded, you can either save the gallery inside the app's folder in your Dropbox (generated files will include time and date of creation) and optionally download the HTML file directly from Dropbox or click the Embed button to get the HTML code. You can see a more detailed how-to with screenshots at www.fourtonfish.com/dropshowgallery/howto The app is in a pretty early stage, but I would like to start getting feedback and make sure the core of the app is working. I plan to add customization options for the gallery, different styles etc. Direct link: www.fourtonfish.com/dropshowgallery A note: I don't think this should be a problem yet, but just in case: while the app is in development mode, only 100 users can connect to it (5 slots are already taken) - this is a Dropbox limitation. I would appreciate any feedback on the app (design, functionality etc). Thanks in advance, have a great day everyone :)

Visit product View on Hacker NewsApr 4, 2013

Share card

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

86%86% 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: user, using, code · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

34%34% 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: users · 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

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.

Correct prediction on native model

Similar products

Nsfw subreddit gallery50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nsfw subreddit gallery

Hacker News8

Devlids – Gallery of Stickered Laptops39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Devlids – Gallery of Stickered Laptops

Hacker News7

Pacific Northwest Diving Gallery39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pacific Northwest Diving Gallery

Hacker News1

Streamlit-Extras Gallery38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Streamlit-Extras Gallery

Hacker News2

Embed curl60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Embed curl

Hacker News1

Woodspotting Gallery39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Woodspotting Gallery

Hacker News1

Embed Neovim in the Browser59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Embed Neovim in the Browser

Hacker News2

VizFiddle – Embed simple visualizations55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VizFiddle – Embed simple visualizations

Hacker News11

Transform Google spreadsheet into a ready-to-embed image gallery widget47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Transform Google spreadsheet into a ready-to-embed image gallery widget

Hacker News3

Now you can embed your eskiis in your website53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Now you can embed your eskiis in your website

Hacker News2

Browse all products Analyze your launch