Batch and Created At date fields in the Recruiting base to ensure no data is missed.Batch and Created At fields to ensure I capture all relevant records for the CSV extract.Batch and Created At fields to fetch the correct records from the Recruiting base.Batch and CreatedAt filters returned no results or ran into errors. I will now try a broader search for all 'W26' applications in the Recruiting base first, and then I will filter them by date in the next step to ensure we capture all relevant founder details for your CSV.[{"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...fetch-table tool to pull the entire table into the local cache. This is the most efficient way to access all records and ensure I capture every field you requested (including valuations, term sheets, and founder details) without hitting API limits or paging through records manually. Once cached, I will use Python to filter for W26 applications and generate the CSV file for you.ds_72dc73fd). However, the previous batch fetch failed, and I still need to capture all remaining records and the specific fields you requested (LinkedIn, Valuations, etc.) to ensure a complete and accurate CSV.ds_72dc73fd). Batch='W26' and Created At > Dec 15) was returning single-digit results, I have switched to a broader fetch strategy. I am now paginating through the full list of recent applications to ensure no records are missed due to complex Airtable formula syntax issues. [{"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_82557db5 to filter for specifically 'W26' applications and extract the requested fields: 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. I will then present this data in a structured format that can be easily converted to CSV.fetch-table encountered an issue, I am successfully retrieving the records in batches using list_records. I have already captured several records and will now continue to fetch the remaining applications to ensure a complete dataset for your CSV file.W26 Batch in the Recruiting base without the date filter to see if any records exist at all for that batch. This will help confirm if the issue is the date constraint or if 'W26' applications are stored under a different label or base. [{"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 = 'W26' and Created At > '2025-12-15'. This will allow me to extract the specific fields you requested, including founder details, valuations, and status, to prepare the CSV.[{"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\": \"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...Applications table using filters for the *W26 batch and creation dates after 2025-12-15*.