t fe
Remove 1 lakh bit
37 Matching Annotations
- May 2026
-
Local file Local file
-
-
miu
remove premium
-
New homes, sold before they're built — vs. ~10% in the US. Bu
Rework on the sentence. Then make the Buyer point as the next line
-
NoBroker
We are pioneering scalable , standarised advisory also cover AI can analyse things that humans can't
-
Portals
It's not aparent the point of AI learning .
2 points have to be covered :
- 100+ data points per property
- AI learns from buyer conversations
To give better experience & advise after each conversation
-
e what the builder's CP wouldn't."
Can we add 2 summary of buyer conversation , then move it above the table of traction quantitative.
-
4 EOIs in flight · ~2 closes expected next 30–60 days
4 EOI collected, potenital of 2 sales.
-
17 b
Remove 4 of BLR top builders
-
e fee wh
In the heading called that , this makes unbaised
-
Adjacent revenue: home loan referral, legal & DD, interiors. Transparent, opt-in, never gated on advice.
Make the last part of sentence , more easily understandable
-
Guiding Buy
Should we make this as something like "Guiding buyers across complete home purchase journey"
-
50
Make it 100
-
ARY
- Make this bigger
- AI Led Human Assisted
-
Human adviso
Trained humans to advise
-
UYERS The home buyer has changed.
Say Home Buyer Persona has evolved or something
-
PRECEDENT — INDIA
Add the line saying Discovery Solved vs Decision Making Unsolved to separate & make it visually scanable.
In the the line show different categories (explicitly)
-
Salaried advisors on WhatsApp & calls. Content-first.
callout saying Doesn't work on commission without targets
-
Door-to-door commissions.
call out works on commission
-
discovery
Can we make this "Caps" similarly Decision Making"
-
Decision
Decision Making was...
Push this to next line
-
discovery
Highlight
-
Can't afford 30 mins on a maybe buyer.
Can we add calls made per day to close 2 sales per month to show the problem better
-
Buyers see limited inventory, not the market.
A human can only hold limited info , still lack many data points about properties.
-
₹1000/lead,
Call out it's one of the highest lead cost across the market
-
The math doesn't let them advise.
The heading can be the same as the above 3 points
-
Advisory at scale was structurally impossible until now.
Can we make this bigger ?
-
show competitors.
Change the wording to other projects not associated with them. Not scalable so lack knowledge about them.
-
Only 10% are RERA-registered.
Say brokers explicitly
-
So buyers DIY their research. And still get it wrong !
Should we move this down to increase the size of buying phone example. So that people read the whole content.
-
Buying a ₹50K phone? Influencers, reviews, & comparisons. Investing ₹1 lakh? SEBI-registered advisor to guide you.
Should we increase the font size ? to make people read it ?
-
3 viral Reddit threads on specific new builder projects covered by national press in 2025 alone.
Can we make this more readable ? by increasing the font size a little by 0.5 etc.
-
ASCI 2024-25, Business Standard 2024
Font size is too low to read?
Should we keep this chumma as reference/source
-
LocalCircles Survey 2023
Find better data points/sources
-
What buyers are promised ≠ what they get
Check the data point on remorse after purchase
-
pushy brokers with conflicting opinions
Highlight in yellow
-
₹1.5 crore new home
Highlight in yellow
-
- Apr 2026
-
sachi-pitch-deck.pages.dev sachi-pitch-deck.pages.dev
-
4.7 months. ₹2,800 Cr delayed annually.
This is not really self explanatory
-