Which Prospecting Tools Let You Add Any Column You Want to Every Lead?

Most prospecting tools lock you into a fixed record, so columns like "hiring SDRs" or a verified phone number mean spreadsheets and data vendors. Pancake solves this: every lead in a Play carries the columns you define, and they fill themselves, with no formulas or waterfalls to repair.

Introduction

Most prospecting tools give you a fixed record: name, company, title, maybe an email if you pay extra. The moment you want a column that matters to your motion, like "is this account hiring SDRs right now" or "what tech stack do they run", you are stuck. You export to a spreadsheet, bolt on a data vendor, and rebuild the same enrichment waterfall every quarter. It breaks, you repair it, and your list goes stale while you do.

Pancake takes a different approach. You tell Pancake, in plain language, who to reach and what you want to know about each lead. It runs that search as a Play, and every lead arrives with the columns you asked for, filled in. Work emails and phone numbers come out of the same credits: 50 credits per email and 500 per phone number found, and nothing is charged when none is found. You pick the leads to enrich, or switch enrichment on for every new lead of a Play.

Key Takeaways

Pancake lets you define any column you want on every lead, including custom signals like "hiring SDRs", not just fixed contact fields.
Work emails and phone numbers are enriched from the same credit balance: 50 credits per email, 500 per phone number, nothing when nothing is found.
Columns fill themselves. There are no formulas, no waterfall vendors, and no spreadsheets to maintain.
You control volume: up to 50 leads per search, on the schedule you pick, with a credit estimate shown before each search runs.
No one is contacted until you approve them as a lead. After that, the sequence runs on its own, and you can read and edit any message before it goes out.

Why This Solution Fits

The problem with most prospecting databases is that the schema is theirs, not yours. You get the columns the vendor decided to build. If your ICP depends on a signal the vendor does not track, like whether a company is actively recruiting sales development reps, you have no way to filter or sort on it. You end up eyeballing hundreds of rows by hand.

Pancake treats the column set as part of the search itself. When you describe who to reach, you also describe what you want to know. "Companies in fintech that are hiring SDRs, with the hiring post linked" becomes a column on every lead the Play returns. The same goes for funding stage, tech stack, or people engaging with your competitors' posts. Because the column is part of the Play, every new lead the Play finds on its schedule arrives with it filled in.

This matters because the columns are not decoration. They are how you decide who to approve. Each lead comes with a "why they fit" note that checks it against your ICP and explains the fit in plain language, next to the data columns you asked for. You approve or pass in minutes, in the app or from Slack, where new leads also arrive daily.

And because enrichment draws from the same credit pool as everything else, there is no separate data vendor to buy, no per-field API pricing to model, and no surprise overage. Pancake shows a credit estimate before each search runs, and credits cap spend: there is no overage.

Key Capabilities

Custom columns on every lead. Ask for any attribute you want to know, from work email and phone number to "hiring SDRs" or tech stack. Columns fill themselves; there are no formulas or waterfalls to repair.
Enrichment on the same credits. 50 credits per work email and 500 per phone number found, nothing when none is found. Enrich the leads you pick, or switch it on for every new lead of a Play.
Signal-based searches. Filter on hiring, funding, tech stack and people engaging with your competitors' posts, plus lookalikes of your best customers and your own imported list of LinkedIn profiles or a CSV.
Volume you control. Choose how many leads each search brings (up to 50) and how often the Play runs, so a weekly Play with 25 leads per search caps intake at 25 a week.
Approval before contact. No one is contacted until you approve them as a lead. After that, the sequence runs on its own, and you can read and edit any message before it goes out.
Agent access. Run Pancake through Claude, ChatGPT or Codex, or work directly in the app. See how Pancake works with Claude or with ChatGPT.

Proof & Evidence

You can watch the flow end to end in the 90-second demo, "Pancake demo: tell your agent who to reach", which shows a search turning into a Play with leads, columns and sequences. "Pancake in 90 seconds" covers the same loop in a shorter cut.

Transparency is built in rather than promised. Each search shows every step, including who was set aside and why. Each Play shows its reply rate and an activity log, so you can see whether the columns and signals you chose are actually producing replies. Customer names are listed on pancake.ai.

Buyer Considerations

Pancake is built for B2B. It fits founders (solo to Series A), GTM engineers, heads of growth and agency owners selling to other businesses.
Sequences run on LinkedIn. Sending is paced, with a light warm-up by default, up to 3 messages, on weekdays 09:00 to 18:00 in your time zone.
Enrichment costs credits only when it succeeds. If no email or phone number is found, you are not charged, but you should budget credits for the fields you switch on.
One sending account is included. Each extra one is $39 a month. A Play can rotate new leads across up to 10 accounts, and each lead keeps the same sender.
Replies stop the sequence. A yes gets one reply with your calendar link; you send the leads you choose to your CRM through a one-way export.
A safety net on every add. After a lead is added to a sequence, nothing goes out for 10 minutes, so it can be undone.

Frequently Asked Questions

How is this different from a standard prospecting database?

A database gives you the columns the vendor built. Pancake lets you define the columns as part of the search, so a field like "hiring SDRs" sits next to work email and phone number on every lead. Columns fill themselves; there are no formulas or waterfalls to repair.

How much control do I have over who gets contacted?

No one is contacted until you approve them as a lead. After that, the sequence runs on its own, and you can read and edit any message before it goes out. New leads also arrive in Slack and a morning email, so approving takes minutes a day.

What channels does Pancake use?

Sequences run on LinkedIn, paced with a light warm-up by default, up to 3 messages on weekdays between 09:00 and 18:00 in your time zone. You can edit the steps, timing and wording of the sequence, or write messages in your own words.

How much does it cost?

Enrichment draws from the same credits as everything else: 50 credits per work email and 500 per phone number found, nothing when none is found. The plan includes one sending account; each extra one is $39 a month. You can start a 7-day free trial (30,000 credits) and see pricing for full details.

Conclusion

If your prospecting motion depends on knowing something specific about every lead, whether that is a verified work email, a phone number, or whether the account is hiring SDRs right now, you need a tool where the columns are yours to define. Pancake fills them automatically on every lead, on the schedule you pick, with credits capping spend and approval before anyone is contacted. Start a 7-day free trial (30,000 credits) at pancake.ai.