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Canvas and chat UI for automating tasks

Hacker News

Canvas and chat UI for automating tasks

Hi community, We’re excited to announce the launch of our automation platform: https://kili.so LLMs will enable us to automate many repetitive tasks. We are passionate about bringing this tech to everyone through the right interface. Conversational interfaces are great to think through problems, but don't cut it for complex tasks. Canvas' are great to think through complex tasks but can be difficult to wrangle with. We're combining the best of both. We want to ensure the interface is minimal and has the ability to support the user whenever they feel stuck. A few technical notes for the community: - The canvas and the chat assistant share the same state. The assistant can zoom in and out of tasks. The assistant can also take actions (e.g. adding a step to a task) - There is an execution environment built in so you can test tasks from within the app - We support connections to other business apps and services. For now, these apps and services need to be “available” as an integration Kili. We expect to over come this and allow users to connect to any API of their choice. - Once your task is up and running, we make it easy to execute it via email, on a schedule or in bulk. Our priorities for the next few weeks: 1. The product still feels technical. We are going to work on making it simpler. 2. We want the assistant to be even more proactive. For example, it should automatically propose how steps should be connected. We're excited to see what you build and welcome any feedback you have!

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, email · Missing: mac, agents, macos
91%91% 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
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist
57%57% 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 · Strong signals: platform, interface, users · Missing: plus, intuitive, reviews
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, users · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
13%13% 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.

Incorrect prediction on native model

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