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Use SQL to Query Airtable

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Use SQL to Query Airtable

We just added support for Airtable to SeekWell (SQL pun intended). This lets you query Bases and Tables using standard SQL . You can even join Table's in different Bases. Here's a demo video [1] and here's the docs [2]. A few other features: - You can schedule the query to run daily, hourly, or every 5 minutes - You can send the results of the query via Slack, email or to a Google Sheet - SeekWell can also connect to Postgres, MySQL, Google Sheets and many other sources and destinations. Check out our Knowledge Base here [3] [1] https://youtu.be/m-uygyDjV0A [2] https://www.notion.so/seekwell/Airtable-672dfb3c7b324203853cf9bfeab94d1d [3] https://www.notion.so/seekwell/Knowledge-Base-7e6abd7243ca43ad863372a264c44452

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, google, email · Missing: mac, agents, macos
77%77% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: video, google · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

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