# Jason Brewer, CEO at Rampline (5-person B2B SaaS, pre-seed) — read of Lectern, May 9 2026

> 8 years in B2B sales tech, one small exit, now raising again for the first time since 2019. Twin 4-year-olds. I read this on the 6 train going downtown with one AirPod in.

## How I got here

Marcus Sheridan mentioned something called an "AI deck builder" offhand on a podcast, didn't name the product, and I googled "AI pitch deck generator" during my commute. Lectern was the third result. I've looked at two others in the last month: one was clearly a glorified Canva with GPT bolted on, and one had a pricing page that went straight to "contact sales." I clicked Lectern because the domain name felt less desperate than the others.

## What I clicked first

The hero pulled me in with one phrase: "Wrong story for the audience." That's a real problem I've had. The line under it — "Seed investors want TAM and vision. Series A investors want retention and unit economics" — is actually correct and not something I've seen articulated on a landing page before. That kept me reading.

What almost pushed me away immediately: "Stop losing deals because your slides let you down." I've seen that framing on 40 pages like this. It's noise.

## Where I paused

The objection simulator. I stopped there. "Surfaces the top 8 questions your deck does NOT yet answer. Patch the gaps before investors find them in the room." If that does what it says, that's genuinely useful — not because founders don't know the gaps, but because having them enumerated before a meeting changes how you prep. I kept reading because of this feature specifically. Sofia Mendes's quote ("caught three questions my deck did not answer... never got blindsided in a meeting again") is the most believable thing on the page because it describes a specific outcome, not a feeling.

## What I distrusted

"$47M Raised via Lectern." That number is doing a lot of work with no explanation of methodology. Did Lectern track all their users' rounds? Do founders self-report? Is this cumulative over the lifetime of the product? I've seen startups count a user's pre-existing round in a number like this if the founder touched the tool at any point. The attribution problem here is real and they just... skipped it.

The testimonials read a little clean. "They passed on the round but asked for a follow-up when we hit $1M ARR. That is the meeting I wanted." That's a good line. Maybe too good. All five stars across all three testimonials. Nobody had a deck that was slightly better than what they built themselves. Nobody said "it was fine, saved me time." The testimonials have no rough edges and that makes me trust them less, not more.

Also: "Priya Nandagopal, Co-founder, Fieldwire Labs." Fieldwire is an actual construction tech company. "Fieldwire Labs" sounds like someone created a variant to avoid a real-company attribution issue, or it's a coincidence, but it caught my eye.

## What would convince me

One transparent breakdown of the $47M figure. Even something like "based on 14 founders who shared round confirmation with us" would help. I don't need big numbers, I need honest numbers.

A real before/after. Show me a founder's actual original notes or first draft alongside the Lectern output. Not a testimonial quote. The actual slides. Even one example would outweigh all three testimonials combined.

And specifically for the objection simulator: show me an example of what the output looks like. What are the 8 questions? How specific are they? Are they generic ("What's your moat?") or actually tailored ("Your CAC payback of 18 months isn't addressed in the unit economics slide")? That's the difference between a feature and a trick.

## What I'd ask in an email reply

1. The objection simulator: how does it generate the 8 questions? Is it pattern-matching against common investor objections, or is it doing something specific to my deck's content? Can you show me an example output from a real deck?

2. "Written in your voice" from a 12-question brief — how much does the output actually vary between two founders in the same space? Have you ever had two similar companies run through it and compared outputs?

3. What happens when the auto market sizing is wrong? If I'm in a niche vertical and your "live market data" gives me a TAM number that a sector investor would immediately flag as off, how do I catch that before I'm in the room?

## Verdict: curious-enough-to-reply

The round-aware structure and the objection simulator are real ideas, not just feature names. The $47M attribution and the too-clean testimonials make me want to verify before I trust. I'd send one email.

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*Memo by skeptic persona, generated 2026-05-09. Studio breaks own self-grading loop.*