Sp

Spinreactor.ai – The First AI-Designed News Bias Filter

Hacker News

Spinreactor.ai – The First AI-Designed News Bias Filter

[The following post was generated by GPT-4 because it fit within the spirit of the project and I'm bad at copy] Hey HN community! I'm excited to share my latest project: SpinReactor.ai – a groundbreaking AI-designed and driven news bias filter that cuts through the noise and delivers spin-free, concise news articles. SpinReactor utilizes News API ( https://newsapi.org/ ) to gather the latest headlines from multiple US sources. It then applies a dual layer similarity heuristic to group similar sources together. But that's just the beginning. With the help of GPT-4, SpinReactor breaks down the articles into core facts, strips away any editorializing, and synthesizes its own concise, unbiased article. It even open cites its sources for full transparency! To add some fun to the mix, we're using StableDiffusion, a text-to-image GAN, to generate article images. While they might not always capture the perfect mood, they sure make for some entertaining visuals. And guess what? The entire project, from the logo to the HTML and CSS, was prompted out of GPT-4. We even prompted GPT-4 to prompt StableDiffusion to create our unique logo. We'd love for you to give SpinReactor.ai a try and let us know what you think! We believe it's a game-changer in the fight against news bias, and we can't wait to hear your feedback. So go on, give it a spin, and let the AI revolution begin! [END GPT-4 COPY] I wanted to step through what the workflow would be for a fully AI-driven project. Honestly it was the most pleasant experiences I've had in a while. I went from an empty VS Code window to basically the final form in around 6 hours and none of that time was spent in the planning stage. I'm very pleased with the final product. Automatic import of new stories is currently disabled (I added that feature) in order to figure out project costs of using GPT-3.5 vs 4. I'll have it up by tonight. If people find value in this output of this product, I have no problem with keeping it up and maintained despite the fact that I just wanted to try out AI-driven development. Thanks for checking it out!

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
93%93% 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: new, visual, using · Missing: mac, agents, macos
85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist
40%40% 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 · Missing: plus, platform, intuitive
28%28% 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
25%25% 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
14%14% 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

Ti
Tietoarc – News source and media ratings and bias24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tietoarc – News source and media ratings and bias

Hacker News1
Bi
Bifocal News – Democracy-Driven News without Hidden Bias29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bifocal News – Democracy-Driven News without Hidden Bias

Hacker News3
The Bias
The Bias21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The synthesis engine for multi-perspective news

Product Hunt+84
Po
Political news aggregator that contextualizes bias and reliability30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Political news aggregator that contextualizes bias and reliability

Hacker News2
tietoarc
tietoarc34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

News Source Ratings, Bias, Credibility, and best sources.

Indie Hackers1community
A
A tool to mitigate against journalism bias52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A tool to mitigate against journalism bias

Hacker News1
Si
Simple news aggregator with source bias meters38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple news aggregator with source bias meters

Hacker News2
Ne
News metadata dataset for media bias research29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

News metadata dataset for media bias research

Hacker News1
Bi
Bias-aware news aggregator32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bias-aware news aggregator

Hacker News3
A
A better bias estimation for HyperLogLog33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A better bias estimation for HyperLogLog

Hacker News3