Mid-marketnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 53 of 103, unchanged
1 category · Named, not rankedAngelList
1Judge labels
0First choices
0Negative labels
1 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. AngelList was named 1 time in Job advertising, where JobTarget led with 23%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small businessnot named
0%
No model named it for this buyer.
Mid-market59 of 111
0%1 label
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In job advertising · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named AngelList for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Job advertising and distribution | Talent acquisition | 0% | 59 of 111 | 0% | 1 | under 10 labels · led by JobTarget at 23% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, AngelList held within the floor in its one category: no change cleared 13 points.
Best category · Job advertising · by segment
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Job advertising | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 59 of 111, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated AngelList across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated AngelList across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative1 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
No positive label carried a quote.
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
No model argued against it.
Named alongside
The products named in the same answers as AngelList, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and AngelList was named but was not.ShowHide
Named alongside
The products named in the same answers as AngelList, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and AngelList was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named AngelList. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 1 of the 1 answers that named AngelList and are not a share of its labels.
Domains cited
consumer.ftc.gov1
hrmorning.com1
linkedin.com1
pandologic.com1
staysafeonline.org1
Five of the five domain citations in answers naming AngelList came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
angellist.com is not in Google's top ten for any of the category's searches. In the answers, AngelList takes 0% of first choices and JobTarget takes 23%.ShowHide
Search and answers
angellist.com is not in Google's top ten for any of the category's searches. In the answers, AngelList takes 0% of first choices and JobTarget takes 23%.
ShowHideIn search
Google, US estimatesPosition for “job advertising platforms”
–
not in the top ten
Position for “programmatic job advertising platform”
–
not in the top ten
- Organic visits to its site
- about 77,051 a month
- Searches its site ranks for
- 3,649 · 475 in the top three
- Sites linking to it
- 8,005
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 59 of 111 in job advertising
Segment leader
23%
JobTarget
- First choices
- 0 across its categories
- Named in
- 1 answers
- Its own site cited
- in 1 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on angellist.com
473
subdomains included
Content
247
counted in the table below
Documentation
56
Product · Integration
4 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 181 | 9 | 2026-09-18 | ||
| Glossary or explainer | 47 | 0 | 2024-01-01 | ||
| Template or tool | 9 | 0 | 2020-05-13 | ||
| Case study | 5 | 0 | 2026-03-16 | ||
| Comparison | 5 | 0 | 2022-02-09 |
Most recent
- 2026-09-18The impossibility of indexing seed blog
- 2026-09-04Fund benchmarks a mid year 2026 refresh blog
- 2026-08-28The Semantic Layer Nobody Maintains blog
- 2026-08-21What leading gps are using angellist link for so far blog
- 2026-07-23Introducing angellist link blog
- 2026-07-22Fipvcc what fund managers need to know blog
How it is countedHide how it is counted
Every page angellist.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.
Follow AngelList
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
AngelList is its own company.ShowHide
The company
AngelList is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- The financial system for private markets
- For
- GPs, investors in startups, and private markets participants
- Price stated
- One-time setup fee $8k; flat passthrough rate of $2k for state regulatory costs; total SPV fees are capped at 10% of the raised amount, excluding add-on service fees. angellist.com/pricing/spvs
- Starting price
- 8k angellist.com/pricing/spvs
- Free plan or trial
- Set up your free Syndicate profile angellist.com/pricing/spvs
- Certifications
- SOC2SEC-registered investment adviser
- Customers named
- USVCMeridianNovaAngel SquadHustle FundShrugThe MBA FundCoinList
- Not stated on the pages read
- Integrations, hosting
What AngelList's own pages state, read October 6, 2026: angellist.com, angellist.com/pricing/spvs, angellist.com/solutions/crypto, angellist.com/blog/category/case-studies. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when AngelList's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as AngelList, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for AngelList by email, built from the raw record of the edition. It shows:
- where AngelList is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name AngelList, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.