dfmchn

dfmchn

Predict when populations of users or customers tip

P
@phil7274
Last updated on Jul 27, 2026
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11 PeerPush
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Paid

Discovery signals

How AI and people discover dfmchn on PeerPush

Read by AI engines 30dEngines readingHow many times AI crawlers read this listing, and which engines those crawlers belong to.
237
  • ChatGPT
  • Perplexity
  • +2 other AI crawlers

Reads by these AI engines

Crawlers behind these engines read this listing on PeerPush.
PersistenceRead streakConsecutive days, counting back from today, that AI has read this listing every single day.
49 days

Read by AI every day

Read by AI every single day since launch.
Search index all-timeSearch indexTimes a search engine AI indexer, such as OAI-SearchBot, crawled this listing.
83 crawls

ChatGPT Search indexer

By OAI-SearchBot, the ChatGPT Search indexer, since launch.

About dfmchn

dfmchn uses behavioral stress testing to predict the specific moment a population of customers, users, or voters transitions from staying to leaving. By modeling populations with sigmoid curves and tipping points, the tool identifies the threshold where rising pressure becomes a cliff. The system is built to function using public data alone, allowing for analysis before actions or decisions are finalized.

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Product Updates (1)

P
@phil7274

Ne public stress tests

Porsche is failing, badly. Could it have been prevented? How early were there signs of defection and stress in the customer base? Difference Machine found the first movement 41 months before it all went south. Read the full stress test: https://dfmchn.com/reports/porsche-owner-defection/

Product had at the time: 3 upvotes • 0 comments • 2 followers • 11 PeerPush

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