Whale – Build Chat-Based Applications for a Seamless User Experience

Hacker News

Quick demo: https://youtu.be/_CopzVyFcXA Hey HN! We're Aaron and JY, the creators of Whale ( https://vercel-whale-platform.vercel.app/ ), a framework/platform designed to build entire applications connected to a single frontend chat interface. No more navigating through multiple user interfaces—everything you need is accessible through a chat. We built Whale after working with and seeing other business applications being used in a very inefficient way with the current UI/UX. We think that new applications being built will be natively AI powered somehow. We have also seen firsthand how difficult it is to create AI agentic workflows in the startup we're working at. Whale allows users to create and select applications they wish to interact with directly via chat, instead of forcing llms to navigate interfaces made for humans and failing miserably. We think this new way of interaction simplifies and enhances user experience. Our biggest challenge right now is between usability and complexity. We want the interface to be user friendly for non-technical people, while still being powerful enough for people for advanced users and devs. We still have a long way to go, but wanted to share our MVP to guide what we should build towards. We're also looking for use cases where Whale can excel. If you have any ideas or needs, please reach out—we'd love to build something for you! We're always shipping and would love to hear your ideas, criticisms, and feedback! Thank you, HN community!

Visit product View on Hacker NewsJul 31, 2024

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

93%93% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, friendly, interface · Missing: plus, intuitive, reviews

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal

26%26% 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

7%7% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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