[{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"reciDjfzHzJWW8wn9\",\n \"fields\": {\n \"Name\": \"Talklet AI\",\n \"Founder Email\": \"zzhang@talklet.ai\",\n \"Country\": \"Other\",\n \"Company Description\": \"AI language coach that's better than a human tutor\",\n \"Need\": \"We are building the first AI Language Coach that achieves real-time emotional intelligence. Unlike Duolingo (which is a game) or Speak (which is a tool), Talkle...[{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"rec05zF4SLfYymc40\",\n \"fields\": {\n \"Name\": \"Plotpaper\",\n \"Founder Email\": \"founder@plotpaper.com\",\n \"Country\": \"Singapore\",\n \"Website\": \"https://www.plotpaper.com/\",\n \"Company Description\": \"We don’t record 97% of our thoughts. AI can’t compute what is not recorded digitally. However, trying to capture everything with current tools creates clutter and increases o...ds_fa0c41b5). Now, I will analyze this data to identify which applications are specifically tagged for the 'W26' batch and check if additional records need to be fetched to cover the full cohort. I'll also verify the availability of the specific fields you requested (LinkedIn, Valuation, etc.) within these records.appOhh39FGIueyamn). I am now fetching all records for the W26 batch created after December 15, 2025, using the Created At and Batch filters to compile the full list of founder details.ds_cebccb22, ds_6a44d1e5, ds_b66d88f0, ds_d045de2c, and ds_f85a5146 into a final CSV format for you. I've corrected the previous code error and will now output the data summary.ds_cebccb22, ds_6a44d1e5, ds_b66d88f0, ds_d045de2c, and ds_f85a5146.appOhh39FGIueyamn). I will now retrieve the full details for these specific applications from tblUSGKA8vy3z3D7H to ensure all 19 requested fields (including LinkedIn, valuations, and contact info) are accurately captured for the final CSV.reciDjfzHzJWW8wn9, recIJ3WJE7ddOFOtM, reccPO9TEHaQch2kH, rec05zF4SLfYymc40, recWuit58664Fwl6w). I am now fetching the specific fields required for the CSV: Founder Linkedin, Founder Name, Company Name, Website, Latest Valuation, Large Check, Existing Termsheet, CreatedAt, Current Raise, Founder Email, Country, Batch, Type, Status, Attribution, Co-Founders, Last Modified, Rejection Reason, and Previous App.appOhh39FGIueyamn) using precise field mapping for batch W26 applications created after Dec 15, 2025. This will ensure the CSV contains actual values for LinkedIn profiles, valuations, and contact details as requested.reciDjfzHzJWW8wn9, recIJ3WJE7ddOFOtM, etc.) that match the W26 batch criteria. However, my previous attempts to extract the specific 19 fields failed because I was using display names instead of Airtable's internal field names. ds_cd68a4e3) to ensure they perfectly match the specific fields you requested (like 'Founder LinkedIn', 'Latest Valuation', etc.). This step is crucial for accurately generating the CSV with the correct columns.ds_e9651e95 to identify the correct field names for founders, valuations, and batch details before performing the full export for W26.Created At field without the specific 'W26' batch constraint first. This will help us identify the correct records and the batch field names they use.Missing required args: undefined
Created At field in the Recruiting base uses a specific ISO format or there are no records matching that exact date range yet. I will now try a broader search for all W26 applications to verify the current batch's records and then filter them by date to ensure I capture the data you need.{Batch}='W26') did not match how the batch is stored or there are no records matching the 'after Dec 15, 2025' criteria. I will now try a broader search for all W26 records without the date filter first to verify the correct field names and data values.Recruiting base for the W26 Batch. So far, queries using specific string filters for 'W26' have returned 0 records. This might be because the Batch field in the Applications table is a linked record or use a specific single-select format. [{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"reciDjfzHzJWW8wn9\",\n \"fields\": {\n \"Name\": \"Talklet AI\",\n \"Founder Email\": \"zzhang@talklet.ai\",\n \"Country\": \"Other\",\n \"Company Description\": \"AI language coach that's better than a human tutor\",\n \"Need\": \"We are building the first AI Language Coach that achieves real-time emotional intelligence. Unlike Duolingo (which is a game) or Speak (which is a tool), Talkle...Batch values like 'W26' and the application timestamp is stored in Created At. I will now fetch the complete set of applications for the W26 batch created after December 15, 2025, using the confirmed field names: Founder Linkedin, Founder Name, Name (Company Name), Website, latestValuation, Large Check?, hold_existingTermSheet, Created At, Current Raise, Email (from partner_firstCall), Country, Batch, Type, and Status.Created At or Created) and the date format used in the Recruiting base.Applications table specifically for the 'W26' batch without the date filter to confirm if any records exist and to verify the correct field names for date filtering.[{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"rec005Qry70p3XTNr\",\n \"fields\": {\n \"Name\": \"Panublix\",\n \"Founder Email\": \"noreen@panublix.com\",\n \"Country\": \"Philippines\",\n \"Website\": \"https://www.panublix.com/\",\n \"Company Description\": \"CONNECTING DESIGNERS WITH REGENERATIVE TEXTILES & ARTISAN CRAFT TO DESIGN A SUSTAINABLE FUTURE\",\n \"Companies\": [\n \"recVTeOutXbtZ3FAb\"\n ],\n ...appOhh39FGIueyamn) and the Applications table (tblUSGKA8vy3z3D7H) as the correct targets. I have already retrieved several datasets (including ds_a0293620 and ds_ea7e633d), but my filtered searches for the 'W26' batch created after December 15, 2025, have returned no records so far. ['fields'] on records that were already pre-processed into a simpler format by the system. I will now correctly combine the datasets from W26, filter for applications created after December 15, 2025, and prepare the final CSV structure with the requested fields.[{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"reciDjfzHzJWW8wn9\",\n \"fields\": {\n \"Name\": \"Talklet AI\",\n \"Founder Email\": \"zzhang@talklet.ai\",\n \"Country\": \"Other\",\n \"Company Description\": \"AI language coach that's better than a human tutor\",\n \"Need\": \"We are building the first AI Language Coach that achieves real-time emotional intelligence. Unlike Duolingo (which is a game) or Speak (which is a tool), Talkle...[{"type":"text","text":"{\n \"records\": [\n {\n \"id\": \"rec05zF4SLfYymc40\",\n \"fields\": {\n \"Name\": \"Plotpaper\",\n \"Founder Email\": \"founder@plotpaper.com\",\n \"Country\": \"Singapore\",\n \"Website\": \"https://www.plotpaper.com/\",\n \"Company Description\": \"We don’t record 97% of our thoughts. AI can’t compute what is not recorded digitally. However, trying to capture everything with current tools creates clutter and increases o...