Searchfunder · California intro thread

Who is searching in California?

A systematic read of the 80-comment California intro thread on Searchfunder. Every comment was extracted from HTML and classified programmatically (name, stated title, background, buy box, time searching). Below: a snapshot of who showed up.

Source: search-funder/california.html · 80 comments · 79 from members (one is the host prompt).

79
members commented
33
active searchers
27 / 33
disclosed deal size
8 / 33
disclosed time searching

Who shows up

Searchers are the largest group, but a healthy share are service providers and capital — the people searchers need.
79
members
33 searchers  42%
14 investors / capital allocators
10 service / advisory providers
10 post-acquisition operators
7 brokers / lenders / bankers
5 reply chatter / unclear

Background of the 33 searchers

Tech operators dominate — many ex-FAANG. Finance (PE/IB/banking) is the second-largest pool. Multi-tags are common (a searcher can be ex-tech + MBA).
Tech operators / ex-FAANG
12
12
Finance (IB / PE / banking)
8
8
Operations / industrial / GM
7
7
Consulting (M&A / mgmt)
5
5
Ex-founder / serial entrepreneur
7
7
Other (entertainment, PhD, MD, construction)
5
5
Military veterans
2
2
MBA explicitly cited
3
3

MBAs cited: Wharton (Gurvinder Singh), NYU (Jed Morris), Berkeley Haas (Nick Yu). Tags overlap — a single searcher can be both ex-tech and ex-founder, etc.

Target deal size

Mid-cluster sits at $500K–$3M EBITDA / SDE — the SBA 7(a) sweet spot. A handful of independent sponsors target $5M+ EBITDA. Six searchers did not disclose.
Under $500K SDE / EBITDA
5
5
$500K – $1.5M (SBA sweet spot)
9
9
$1M – $3M EBITDA
8
8
$2M – $10M EBITDA (indep. sponsor)
4
4
$5M+ / very large
1
1
Not disclosed
6
6

Range floor: $300K SDE (Korbin Law water-testing labs; George Sobota industrial services). Range ceiling: Dominic Foster cites $2M–$50M EBITDA / up to $600M revenue (already a holding-company buyer, not a single-searcher).

Where in California

SoCal (LA/OC/SD/IE) edges out the Bay Area. A small but interesting long-tail in Tahoe, Santa Cruz, Chico, and one Scottsdale-based searcher hunting only in CA.
SoCal (LA / OC / SD / IE)
18
OC = the densest single sub-cluster
SF Bay Area
10
SF + Oakland + Peninsula + East Bay
Other CA
3
Santa Cruz · Chico · S. Lake Tahoe
Out-of-state, targeting CA
2
Scottsdale AZ; Lafayette/Reno overlap

Time searching (only 8 disclosed)

Most searchers don't say how long they've been at it. Of those who do, the field is bimodal: people just starting, and people about a year in.
Just starting (≤1 mo)
Michael Koenig · 3 weeks Armando Domingos John Matsubu Nick Yu
~1 year in
Vishwas Patil · since Aug Max Needle · launched last year
18+ months
Scott Phillips · 18+ mo, several LOIs
Multi-year build
Bhavin Jindal · targeting first deal 2028
Under LOI / closing
Alexander Gittelson · LOI, millwork Jeannine Kerran · platform close (home services) Joshua Jensen · weeks from close Porter Daughtry · negotiating first platform

Note: time-searching was the most under-disclosed field. Treat this as a directional read, not a census.

The 33 searchers

Every searcher classified from the thread, with stated background tag and disclosed buy box (when given).
Name Location Background Buy box / status
Connor PetersonSF Bay AreaconsultingNiche specialty finance services; live deals
Imran ChaudhryLA / OCoperator$1–3M EBITDA, industrial / B2B / A&D
Seth ShanerOrange CountyconsultingPEoperator$2–10M EBITDA, regional restaurant rollup; LOI #2
Gurvinder SinghSF Bay AreaoperatorWharton$700K–$3M EBITDA, B2B / dist / healthcare
Tiffany OdaOrange Countytech operator$1M+ EBITDA, CA home services / med spas
Jed MorrisSan DiegomilitaryNYUbig techIndep. sponsor — GovCon / A&D / IT / cyber
Porter DaughtryEl SegundoM&A / QofE$2–10M EBITDA, SoCal; negotiating first platform
Vishwas PatilSF Bay Area16y big tech$700K–$1.5M EBITDA · ~1 yr in · prev. LOI broke
Korbin LawLos Angelesanalytics$300–500K SDE, CA water/env testing labs
Max NeedleSan DiegoIB / PE$5–30M EV, healthcare services; committed capital
Calvin GoodmanBay → OCSaaS founder$500K–$2M SDE, B2B / trades, SoCal
Armando DomingosSF Bay AreaGoogleprior founder$1.5–3.5M rev, precision machining (AZ + SoCal)
George SobotaOrange Countyconsultingoperator$300K+ SDE, light mfg / B2B; mid-LOI
Stephen KampYorba Lindaprime brokerage$700K–$1.5M EBITDA, SoCal mfg / services
Sireesha AtluriSF Bay Areatech sales / opsDigital content; AI workflows; part-time
Scott PhillipsOrange County30y tech exec$300–750K price · 18+ mo searching · several LOIs
Michael KoenigSan Francisco10y IB / PE$1.5–5M EBITDA · 3 weeks in
Peter TurnerCarlsbadadtech$500K–$2M EBITDA, CA / AZ / NV
John MatsubuSF Bay AreaPhD chem eng$400K–$1M EBITDA, industrial / labs · just started
Bhavin JindalSan Bernardino (IE)Amazon Freight$1–5M rev, logistics; targeting first deal 2028
Nick YuOakland15y SWEHaas$750K–$1.5M profit, vertical B2B SaaS · just starting
Jeannine KerranBay Area (Danville)commercial constructionHome services platform · final steps of close
Joshua JensenSanta Cruz15y HPconsulting$500K–$1M SDE · weeks from close
Pawanjit SinghChicorental car / mfg$1–5M rev, manufacturing / waste / distribution
Wallace YoungSouth Lake Tahoecompliance / banking~$400K+ SDE, Reno-Tahoe area
Adi PradeepLos Angelestech leadership$5–10M, OEM manufacturing · acquired & growing
Alexander GittelsonLos Angelesentertainment$1–3M EBITDA, mfg / construction · under LOI
Tayo AkanniOaklandcorp financeconsultingmilitary$500K+ SDE, senior home services / optometry
Andre VashilkoScottsdale → CAIT channelprior founder$500K+ SDE, MSP / VAR; SBLGP focus
Curtis HeyneOrange CountyCOOEquipment-intensive ops; acquire or partner
Susie HarborthOrange Countyadvisorfounder (Inspira)$750K+ SDE, hospitality / wellness / CPG
AJ ShergillSF Bay AreaphysicianSmall behavioral-health practices to bolt on
Dominic FosterLos Angeleslenderfounder$2–50M EBITDA, holdco · already acquired
Method: parsed 80 <div class="comment…"> blocks from california.html, split into 8 line-range batches, classified each comment with a sub-agent (name, stated title, body, is_searcher, background, deal size, time searching, location, evidence quote), then aggregated. Searchers de-duplicated by name across multiple comments. Counts of non-searcher buckets in the donut are approximations from the same classification pass.