CEETEX – A Ceefax/Teletext-style terminal RSS reader

Hacker News

I’ve always loved the high-density, no-nonsense aesthetic of 80s Teletext (Ceefax), so I built CEETEX: a Python-based RSS reader that brings that experience to the modern terminal. Featuring a retro 3-digit dialing system for navigation, and a focus on distraction-free reading by stripping HTML bloat into clean, readable text. --------------- "CEETEX brings back the 'information-at-your-fingertips' era of broadcast data services like the UK's Ceefax and Australia's Austext. For those in the US, think of it as a interactive, user-controlled version of the classic 80s Weather Channel dashboard. It’s a nostalgic, high-density way to browse the modern web via the terminal." https://en.wikipedia.org/wiki/Ceefax

Visit product View on Hacker NewsMar 27, 2026

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

87%87% 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.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · 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: way · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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