End-to-end encryption for Twitter direct messages

Hacker News

So, you want to avoid mass surveillance and don't trust big tech companies either? But you're tied to your existing network of contacts like everyone else? Well now you can send encrypted messages to your contacts over the Twitter direct messaging channel. It's a serverless SPA called Seecret, a Twitter client hosted at https://www.seecret.io Seecret is open source and freely distributable. You can host it anywhere even from your own localhost server. The app is just plain html and javascript, with no server-side processing at all, no tracking, no logging. Steps: 1-Grant Seecret.io permission to connect to Twitter. (Just like Facebook connect). Twitter uses Oauth 1.0a (srsly?) which doesn't support serverless auth so we integrated Oauth.io to handle it. Read about it at https://oauth.io but they are a trusted Oauth 1 proxy service. 2-Seecret then gens an RSA key with a long passphrase saved locally. You can change the passphrase and even delete it (and the key) from local storage. If you delete these you'll need to reimport them each time you use the app. To read more about concerns and approaches re: local browser storage of keys etc read our FAQ at https://www.seecret.net/faq.html 3-Send encrypted msgs over Twitter to your existing contacts! The code for Seecret is fully auditable and the app uses Subresource Integrity Checks for all dependencies. Unfamiliar with SRI? Read more about it at https://www.w3.org/TR/SRI/. In short, it lets you verify for certain you are using the uncompromised code with no CDN intercepts. Want to host your own instance? It's easy! Read more at https://www.seecret.net/mirror.html Read more about our approach, explanation of the technology choices, and why we made it open source and freely distributable at https://www.seecret.net/faq.html

Visit product View on Hacker NewsNov 10, 2016

Share card

Actual performance

29points

5comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, existing · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: using, code, open · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% 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

Brandis: End-to-end encryption for everyone54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Brandis: End-to-end encryption for everyone

Hacker News2

Brandis: End-to-end encryption for everyone54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Brandis: End-to-end encryption for everyone

Hacker News3

End-to-End Encryption through Kafka, with Ockam62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

End-to-End Encryption through Kafka, with Ockam

Hacker News6

Hivoe77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twitter engagement via Direct Messages

Indie Hackers3$1,903/mosaas

E2E End to End Encryption API for Your Product47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

E2E End to End Encryption API for Your Product

Hacker News3

End-to-end encryption for Telegraf and InfluxDB, demo from InfluxDays51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

End-to-end encryption for Telegraf and InfluxDB, demo from InfluxDays

Hacker News3

Backand – AngularJS Back end48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Backand – AngularJS Back end

Hacker News8

HN Rehab, End Your HN Addiction62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN Rehab, End Your HN Addiction

Hacker News6

A Gnus Back End for HN62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Gnus Back End for HN

Hacker News103

Tessera, an opinionated Graphite front-end58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tessera, an opinionated Graphite front-end

Hacker News4

Browse all products Analyze your launch