Hey all, wanted to introduce what I've been building the past few weeks.
Pitchcraft is basically me helping early-stage founders get an investor-ready pitch deck or business plan without paying agency prices for it. I use AI to move fast on a first draft, then go through everything by hand to check the numbers actually hold up and the structure makes sense to someone reading it cold for the first time.
I'm doing this solo and it's still really early, no big client roster yet, just a couple of self-directed samples up so people can see how I actually think through things like market sizing and risk sections rather than just taking my word for it. I'd honestly rather hear what's missing or what would make you trust a document like this than get a bunch of nice comments.
If you've ever had to put together a deck or plan on a tight budget, curious what part of that process was the most painful for you. That's basically what I'm trying to solve.
honestly the hardest part hasn't been the actual deck/plan writing, it's been figuring out how to prove I can do this before I've got any reviews or track record. spent the last few days building out actual work samples (a full business plan excerpt, market sizing tables, the whole thing) for a fake company just so I'd have something real to attach to proposals instead of just saying "trust me." felt a little ridiculous writing a fictional seed round pitch for a company that doesn't exist, but it's already gotten me two solid proposals out the door today.
the other thing is being honest that some of it's AI-assisted without that tanking credibility. so far being upfront about it and leading with "here's actual work, judge it yourself" seems to land better than pretending otherwise.
Really solid approach — curious how you're thinking about this, what's been the hardest part to figure out so far?
From the founders you've spoken with so far, what has been the biggest trust barrier—AI involvement, credibility of the numbers, or whether the deck actually improves their fundraising case?
haven't actually worked with a founder yet, still in the "trying to get hired" stage lol. but if I had to guess from what's landed in proposals so far, it's probably credibility of the numbers over the AI thing itself. people seem less bothered by "AI helped write this" than by whether the assumptions would hold up if someone actually poked at them. that's part of why I lean so hard on comps in the work samples instead of just clean-looking projections, want the numbers to survive a skeptical read, not just look nice.
The “would the numbers survive a skeptical read?” point is the part I’d be most interested in unpacking. Could be useful to continue that off-thread sometime, if you’re open to it.
Thanks for writing this up. Bookmarking it for later.
Nice progress. What is the next thing you are focusing on?
Nice progress. What is the next thing you are focusing on?
Curious how long it took before you saw the first real results?
This is useful. How are you finding your first users so far?
Thanks for sharing the numbers, that makes it much easier to follow.
How did you decide this was worth building in the first place?
How did you decide this was worth building in the first place?
Interesting approach. What was the hardest part to get right?