thisorthis.ai streamlines AI model comparison, saving you time and effort. Test prompts across multiple models, analyze differences and share them instantly. Optimize your AI strategy with data-driven comparisons, and make informed decisions faster.
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Thank you, Product Hunt community, for the incredible support during our launch! π Your enthusiasm in trying out thisorthis.ai and providing valuable feedback has been amazing. We have lots to do and are already geared up to deliver even more value to our users.
From the overwhelming response, I've decided to make select models FREE for use so that more people can experience the platform. π
Stay tuned for more updates and features! π‘
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Hey Product Hunt! π
I am Parth Amin, the founder of thisorthis.ai. We are excited to launch our platform today and share it with the amazing Product Hunt community! π
What is thisorthis.aiβ
π thisorthis.ai is your go-to platform for AI model showdowns. It lets you do a side-by-side comparison, share, and vote on AI-generated responses from multiple models. Whether youβre curious about which AI model provides the best answers or just want to explore the variety of responses, ThisOrThis.ai has you covered. π€β¨
Why We Built Itβ
π With the rapid growth of AI models, itβs challenging to determine which one works best for specific prompts. As an AI enthusiast, I found it frustrating to compare different models easily and jump onto different platforms to check responses for the same prompt. Thatβs why I built thisorthi.ai β to make it simple for everyone to evaluate and compare AI responses in one place. π‘
π Key Features:
π Side-by-Side Comparison: Enter any prompt and see responses from various AI models side by side. Compare GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Flash, and other model responses with just a click!π
πΌ Community Voting: Vote on the best responses to help highlight which models are excelling. π
π€ Easy Sharing: Share links to your prompts and the AI responses you receive easily with anyone, fostering a collaborative environment. π
Try It Out
π We have made the platform completely free to register and vote on different AI models, with a pay-as-you-go model to compare prompt responses. Check out sample prompt responses below and start comparing AI models at https://thisorthis.ai π
π βWrite an optimized algorithm to find the shortest path in a weighted, directed graph using Dijkstraβs algorithm, handling up to 100,000 nodes and 1,000,000 edges.β β https://thisorthis.ai/s/kobirzUY
π βCraft a polite and helpful response to a customer who received a damaged product and is requesting a refund or replacement.β β https://thisorthis.ai/s/bR4pNy7g
π "Write 7 tweets for the week for a fitness company selling bodyweight equipments. The company wants to highlight their pull up bars in the upcoming week." - https://thisorthis.ai/s/b453Ezh7
Your Feedback
βΉοΈ Weβd love to get your feedback! Please let us know what you think, and feel free to share any suggestions or improvements. Your insights will be crucial as we continue to develop and enhance thisorthis.ai. π
Thank you for your support, and happy comparing!
Parth Amin
Founder, thisorthis.ai
π Congratulations Parth and team on launching ThisOrThis.ai! The side-by-side AI model comparison feature is a game-changer for enthusiasts like me who constantly evaluate different models. The community voting and easy sharing functionalities are brilliant additions that foster collaboration and engagement. One suggestion: consider adding a feature to track historical performance of models based on votes. Excited to see how this evolves! π
@hhh_zzz Thank you so much for the kind words and support! π We're thrilled to hear that you find the side-by-side comparison, community voting, and sharing features valuable. Your suggestion to track historical performance based on votes is fantastic and aligns with our goal to provide deeper insights. We'll definitely consider this for future updates. Stay tuned for more exciting features and improvements! π
Side-by-side AI model comparison could be really useful for developers and researchers.
I'm wondering how you handle potential biases in the voting system? Also, do you plan to add features for comparing model performance metrics beyond just output quality?
Congrats on the launch, Parth!
@kyrylosilin Thank you for your questions! We are already working on the next iteration which will help you evaluate models on many more metrics. Stay tuned.
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