Tabulate AI Creativity in One Click

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While developing Tablesmith, I realized the need for a more user-friendly solution. Tablesmith requires users to manually create columns and add prompts, which can be tedious. This inspired me to create Tabulator AI, a tool that generates creative tables from a single prompt. With Tabulator AI, you can easily create tables and generate engaging content without the hassle. For example, I used ChatGPT to craft a steampunk story and then turned parts of it into demo tables with text/image, which you can check out on the homepage. All demo tables on the homepage are pre-generated, but you can also try this real one: < https://tabulator.ai/tables/01904824-38b1-7140-b52b-23237ebc... >. Create an account first so you can generate image. If you want images included, make sure to mention that explicitly in your prompt.

Visit product View on Hacker NewsJun 24, 2024

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

83%83% 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

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: friendly, users · Missing: plus, platform, intuitive

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

14%14% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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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