Toingg
AI voice and text agents for SMBs · Pre-seed · $500K · 17 slides
Investor readiness
v1A solid regulatory 'why now' and a working demo, but zero traction data and a thin market will make angels drop off before the ask.
Needs significant revision before investor meetings.
Business
Bottom 27%
32
Team covers product and go-to-market, but no senior AI engineer on the cap table.
0 confirmed paying customers. Demos don't count as traction — add any real signal.
$314B TAM is top-down with no bottoms-up. Red flag for 72% of investors.
Use of funds is too vague. Investors want: X for Y → milestone Z.
Deck quality
Bottom 24%
37
Traction sits on slide 8 — it should be slide 2 to hook earlier.
Value proposition is generic. Reads like a standard SaaS on the first pass.
Key numbers don't stand out. Everything competes for attention on the critical slides.
Investor attention
Based on 28,614 sessions ·
Investors hook on — but lose interest on later in the deck
Why they drop off here
After a shallow solution tagline, a wasted meme and generic value propositions, seeing a market with only headcounts and no dollar values confirms that the deck lacks analytical rigor.
Browse slides
17 slides
Preview
Slide 9 · Market size
Investor reaction
"Only people counts, no dollar values. If you can't size your own market, how are you sizing your pricing?"
Rebuild with bottoms-up math and dollar values
The TAM is calculated by counting people, not dollars. Without bottoms-up math (price × reachable users × frequency) the $314B figure looks inflated and falls apart under questioning. This is the slide where 72% of investors stop reading.
Recommended fixes
8 pending
7 slide-level fixes + 1 deck-level fix
Apply this change to improve narrative clarity and investor confidence in this section of the deck.
Apply this change to improve narrative clarity and investor confidence in this section of the deck.
Your deck has the proof. It just needs a better frame.
Three changes take you from the 27th to the 60th percentile.
Results in 2 minutes · Your deck is never used to train AI