Tu

TutsWiki, Collaborative Tutorials for the Internet

Hacker News

TutsWiki, Collaborative Tutorials for the Internet

Problem: I was unhappy with the low quality tech content on famous websites like TutorialsPoint. We always come across some obsolete content, broken links, or bad practices on tech/programming websites but there's no way to fix that. It solely relies on the blog owners and sometimes they just stop keeping their sites up-to-date. Even if they want to, they cannot monitor each and every article/links/examples on their massive websites. Solution: I made TutsWiki, an open-source website where people can review the content and modify it if they find any mistake in it. How: Users can click on "Edit this page" button at the top right corner of each post. This will take them to the GitHub repository where actual content is present. They can modify the content and raise a "Pull Request". When the PR is approved, website content will update automatically. Example: A CSV file that I used in my example program was broken. The original site which hosted the CSV file had updated the URL along with the CSV content. It was 3 years' old article which I was not monitoring but thanks to a visitor who found out about it and raised a PR to fix it. Link to PR (https://github.com/TutsWiki/source/pull/3/commits/4ea5ecfb9b634d9a0fc04b341e6f316d0a98a875) Challenges: I cannot work on this project alone due to a full-time job and household chores. I'm looking for contributors. I also have to decide the niche e.g. whether TutsWiki should only cover programming articles/tutorials or be open to all categories. Note: Users can submit new content which will be available on the site once it's approved by mods e.g. pandas tutorial series (https://github.com/TutsWiki/source/tree/master/content/pandas%20cookbook) Website URL: https://tutswiki.com/ GitHub project: https://github.com/TutsWiki

Share card

Actual performance

2points
2comments
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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
60%60% 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, new, open · 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 · Strong signals: host, users · 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: users, way · 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
10%10% 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.

Incorrect prediction on native model

Similar products

Gr
Grasswire – A collaborative newsroom for the Internet64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Grasswire – A collaborative newsroom for the Internet

Hacker News69
Te
Tensorflow tutorials69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tensorflow tutorials

Hacker News7
No
Nocodify (No-Code Tutorials)63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nocodify (No-Code Tutorials)

Hacker News1
Go
Golang Angular Video Tutorials37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Golang Angular Video Tutorials

Hacker News2
pD
pDoS – censorship resistant collaborative DDoS-ing60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

pDoS – censorship resistant collaborative DDoS-ing

Hacker News1
Co
Collaborative Jupyter Whiteboards79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collaborative Jupyter Whiteboards

Hacker News4
Ca
Cadavre Exquis – Collaborative Poetry43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cadavre Exquis – Collaborative Poetry

Hacker News2
Co
Collaborative Haiku and Poetry43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collaborative Haiku and Poetry

Hacker News2
Mergenote
Mergenote41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collaborative NoteTaking

Indie Hackers1b2b
RobinWords
RobinWords40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

collaborative storytelling

Indie Hackers1$15/moeducation