@0xdoppoi
iAccount based inUnited States
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Account-level information from X, not a live location or the device used for a specific post.
Solo founder 🦀building retail data infrastructure + other things
Joined August 2025
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- Followers150
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Peanut Shopper is still built around grocery flyers.
But the next layer is the harder one:
What actually happened in the store?
We avoided this for a while because the clean version wants API/POS access, retailer agreements, and more operational capacity.
So now we’re taking the boots-on-the-ground path to close the gap first.
Flyers show intent. Shelf data shows reality.
Price, promo tags, cold placement, stock, competitors, zoning, and the in-store promo layer flyers miss.
Half research, half sales, half correlating flyer data to real store conditions.
Tonight’s 4 mile walk is pitch rehearsal for that.
We’re pushing the agenda regardless of notoriety, bureaucracy, or funding stage.
I think I’ve contaminated my own X growth experiment.
I was getting fairly consistent follower growth from ~50 targeted replies/day. Then I started mixing in lower-signal replies + way too much about my daily exercise experiment.
Follower growth flattened and may have gone slightly negative.
Problem is I changed too many variables at once, so I have no idea which input actually mattered:
reply volume
reply quality
who I reply to
original content
posting time
topic consistency
At 151 followers, original posts still get a few 10s of impressions, so replies are effectively my discovery mechanism.
Next test: fewer, more targeted/intelligible replies while holding the rest relatively constant.
I’m also separating 3 daily logs from my normal 5-post quota:
2 exercise experiment posts: result + post-walk thought
1 work/build log
5 other original posts
I do the entire walk without music like a psycho, so I might as well use the intrusive thoughts as experimental output.
That gives me a cleaner baseline of 8 originals/day while I figure out whether reply quality, targeting, or volume is actually moving the needle.
Day 9 of doing 4.1 mile walks, going to finish this next load of laundry so I have socks then time for my walk. The current experiment is see if now I can jog a little further before asthma starts, which is not very far
Also as a sad note I need to take two of my pants to the dry cleaners to get the crotch patched
Found another local grocery data gap I want to dig into: AR Supermarket, also listed as 아리라수퍼마켓 / Arirang Supermarket.
They have stores in Garden Grove and Fullerton, but the public weekly-sales page looks stale. The main flyer I can find is from New Year’s, and the latest weekly flyer I can find is from December.
That is exactly the infrastructure gap Peanut Shopper is being built around.
A lot of independent and ethnic grocery stores still have messy promotion workflows: paper flyers, old website pages, Instagram/Facebook posts, in-store signs, and no clean structured history of what was promoted, where, when, and at what price.
Next step:
call or visit the stores
figure out who owns weekly ads and updates
see whether current promos exist somewhere offline
test whether we can help host the flyer/catalog layer
turn their items, prices, promos, and locations into structured data
use that as a local pilot path
Flyer data is only the first layer.
The bigger opportunity is helping stores that are digitally underrepresented become easier to search, analyze, promote, and integrate into modern commerce without forcing them to replace how they already operate.