Ho

Horizon – Private alternative to Imgur

Hacker News

Horizon – Private alternative to Imgur

Hey HN, I'm James, a 17-year old full-stack engineer from Canada with a strong passion for building software. During the day, I work for a California-based startup, and in the evenings, I enjoy working on side projects[1][2]. For the past 3 years, I've been building and iterating on a product I called Horizon Pics, which is a file hosting service, similar to mainstream services, like Imgur. Horizon allows you to quickly upload and store all types of files, from images and video, to PDFs and other documents. The biggest differentiating factor is that Horizon's incentives are much more aligned with you, the end-user. Unlike Imgur, Horizon has absolutely no ads, doesn't sell your data, has built-in security and privacy controls, and is fully focused on your file sharing needs. No social media or other bloat. This past week, I've launched a rebrand of Horizon which features a brand-new desktop app called Alpine[3], which serves as a local companion to Horizon. With it comes the capability to auto-upload screen captures and upload your clipboards as shareable pastes. For extra privacy, clipboard sharing can be automatically deleted after one view, or end-to-end encrypted with AES-256-GCM client-side. The desktop app is completely free to use! It's powered by Tauri using TypeScript, SvelteKit, Sass, and Rust. Horizon offers a free plan with limited storage and upload sizes, while the paid plan offers higher limits. Let me know what you think about the landing page[0]. Does it provide enough information as a new user? [0]: https://horizon.pics [1]: https://httpjames.space [2]: https://github.com/httpjamesm [3]: https://horizon.pics/alpine

Share card

Actual performance

361points
206comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, using · Missing: mac, agents, macos
91%91% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% predicted probability of success on Indie Hackers, 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
34%34% 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
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · 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

Sh
Show HN (take 2): A basecamp alternative (private beta)50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN (take 2): A basecamp alternative (private beta)

Hacker News4
fr
frozen - Storm alternative without Java43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

frozen - Storm alternative without Java

Hacker News2
Di
Diffboard, a pastebin alternative with diffs56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Diffboard, a pastebin alternative with diffs

Hacker News5
du
dump_r() - print_r() and var_dump() alternative58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

dump_r() - print_r() and var_dump() alternative

Hacker News12
de
developing a techmeme alternative.56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

developing a techmeme alternative.

Hacker News3
an
an alternative to AdSense59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

an alternative to AdSense

Hacker News112
A
A BBS alternative59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A BBS alternative

Hacker News3
su
suchjs - a terse alternative to jQuery55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

suchjs - a terse alternative to jQuery

Hacker News4
An
An alternative to strong_parameters in Rails: parameters_schema50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An alternative to strong_parameters in Rails: parameters_schema

Hacker News1
Okfans
Okfans41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OnlyFans alternative.

TrustMRREntertainment