Te

Teable – Open-Source No-Code Database Fusion of Postgres and Airtable

Hacker News

Teable – Open-Source No-Code Database Fusion of Postgres and Airtable

Features Spreadsheet-like interface All you want is here • Cell Editing: Directly click and edit content within cells. • Formula Support: Input mathematical and logical formulas to auto-calculate values. • Data Sorting and Filtering: Sort data based on a column or multiple columns; use filters to view specific rows of data. • Aggregation Function: Automatically summarize statistics for each column, providing instant calculations like sum, average, count, max, and min for streamlined data analysis. • Data Formatting: formatting numbers, dates, etc. • Grouping: Organize rows into collapsible groups based on column values for easier data analysis and navigation. • Import/Export Capabilities: Import and export data from other formats, e.g., .csv, .xlsx. Multiple Views Visualize and interact with data in various ways best suited for their specific tasks. • Grid View: The default view of the table, which displays data in a spreadsheet-like format. • Form View: Input data in a form format, which is useful for collecting data. • Coming soon: Kanban View, Calendar View, Gallery View, Gantt View, Timeline View. Super Fast Amazing response speed and data capacity • Millions of data are easily processed, and there is no pressure to filter and sort • Automatic database indexing for maximum speed • Supports batch data operations at one time Full-featured SQL Support Seamless integration with the software you are familiar with • BI tools like Metabase PowerBi... • No-code tools like Appsmith... • Direct retrieve data with native SQL Privacy-First • Bring your own database (coming soon) Real-time collaboration • No need to refresh the page, data is updated in real-time

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Actual performance

279points
94comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
85%85% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, visual, tasks · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, 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
48%48% 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: interface, soon · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, visualize, way · Missing: mobile apps, ios, personal
31%31% 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
12%12% 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.

Incorrect prediction on native model

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