Th

Thisorthis.ai: Compare, Share, and Vote on AI-Generated Responses

Hacker News

Thisorthis.ai: Compare, Share, and Vote on AI-Generated Responses

Hi HN, I am Parth Amin, the founder of thisorthis.ai. Our platform lets you compare, share, and vote on AI-generated responses from multiple models. ### The Problem With so many AI models available, it’s hard to know which one will give the best response to a given prompt. As an AI enthusiast, I found it frustrating to compare different models side by side. After talking with a few folks in various industries, I realized that many are facing the same challenge and decided to create a solution. ### Our Journey A few months ago, I started working on thisorthis.ai to address this issue. The idea was to create a platform where users can input a prompt, generate responses from various AI models, and see those responses in a clear, side-by-side comparison. This way, you can easily judge which model performs best for your needs. ### The Solution thisorthis.ai allows you to: - Compare AI Responses: Enter a prompt and see how different AI models respond. - Vote on the Best Responses: Users can vote on their preferred responses, helping to highlight which models are performing well. - Share Prompts and Responses: Easily share links to your prompts and the AI responses you receive, so others can see and vote too. Our platform is built with a simple, user-friendly interface. Technically, it integrates with several popular AI models via their respective APIs, pulling in responses and displaying them in a clean format for easy comparison. ### What Makes Us Different What sets thisorthis.ai apart is the community-driven aspect. By allowing users to vote on the best responses, we crowdsource the evaluation of AI models. This not only helps users make informed decisions but also provides valuable feedback to the public. ### Examples and Demo Links Here are a few example prompts and their AI responses generated using multiple AI models. Please check them out and vote on which responses you think are best: - Example Prompt 1: "Imagine you are a healthcare consultant. Write a detailed plan on how to improve patient outcomes in a rural hospital…" - https://thisorthis.ai/s/kq3AnNb2 - Example Prompt 2: "Write a Python function that takes a list of integers and returns a new list with all duplicate elements removed…" - https://thisorthis.ai/s/dGxgagex - Example Prompt 3: "Compose a professional email to a potential client, introducing your company's new line of sustainable packaging solutions…" - https://thisorthis.ai/s/X7f4SGyB Feel free to create your own prompts and see how different AI models respond! ### Monetization Plan For now, thisorthis.ai is free to sign up and use as we gather feedback and improve the platform. You only pay when you need to generate prompt responses via a simple tier-based pricing structure for AI models (Pricing - https://thisorthis.ai/pricing ). Voting is and will always remain free! In the future, we might explore subscription plans with the introduction of more advanced features. ### Invitation to the Community We’d love to get your feedback on thisorthis.ai. Please try it out and let us know what you think. Your insights and suggestions will be crucial as we continue to develop and refine the platform. You can start using it right away at https://thisorthis.ai and feel free to share feedback from https://thisorthis.ai/feedback Thank you for your time and interest! Parth Amin Founder, thisorthis.ai

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
91%91% 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.
AppSumoStrong fit for a featured deal · Strong signals: platform, friendly, interface · Missing: plus, intuitive, reviews
64%64% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, new · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, users, way · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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

Sh
Share your AI-generated images48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Share your AI-generated images

Hacker News9
AI
AI-generated framed prints artworks46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI-generated framed prints artworks

Hacker News14
AI
AI Generated T-shirts for geeks49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Generated T-shirts for geeks

Hacker News1
An
An AI-Generated Encyclopedia46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An AI-Generated Encyclopedia

Hacker News47
Op
Operation Voidstar, AI-Generated Conspiracy Comedy42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Operation Voidstar, AI-Generated Conspiracy Comedy

Hacker News1
Ak
Akas: an app to share AI generated podcast40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Akas: an app to share AI generated podcast

Hacker News2
Th
Thelatestbot – AI generated online magazine42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Thelatestbot – AI generated online magazine

Hacker News1
tweetreply
tweetreply43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Enhance your Twitter engagement with AI-generated responses.

Indie Hackerscommitment-full-time
Po
Pornpen.ai – AI-Generated Porn69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pornpen.ai – AI-Generated Porn

Hacker News711
Ne
Netflix for AI-Generated Videos56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Netflix for AI-Generated Videos

Hacker News95