After Applied Predictive Technologies
- 9%Joined a startup3
- 21%Joined a big company7
- 71%Elsewhere
Shares of those who moved on, by their next stop.
People who leave Applied Predictive Technologies most often go to Google, Mastercard and Mastercard Insights & Intelligence. Median stay 2y 2m
These are the engineers in the Zelcast network and the profiles run through the Eng Scorer, not Applied Predictive Technologies's headcount: 35 people on a map of 26,572, the No. 283 company on it by people. Updated August 20, 2026.
- People on the map
- 350.1% of everyone on the map
- There now
- 00% of the people here
- Moved on
- 35100% of the people here
- Median tenure
- 2y 2mmiddle half 1y 10m to 2y 7m
Put Applied Predictive Technologies side by side with another company, every number against every number.
Came from, went to
Ribbon width is the number of people who made the move. Most leave for Google (17% of recorded departures).
27 recorded arrivals from 27 companies, none more than 2 from any one of them
0 of 27 recorded arrivals shown, 27 more from 27 other companies15 of 35 recorded departures shown, 20 more to 20 other companies
How long people stay
4%<1y
25%1-2y
71%2-4y
0%4-7y
0%7y+
24 stays with both a start and an end on the record.
Who comes and goes, by year
1112
1013
3314
8515
5416
11417
8718
3519
2720
0521
0122
0023
0024
0025
0026
joined left2026 is a partial year
2012 to 2026: 42 joined, 42 left.
Caliber
85mediantop 10%95
0Eng Scorer caliber, 35 scored99
Titles held here
- Software Engineer Intern14
- Software Engineer9
- Software Engineer II4
- Business Consultant3
- Data Engineer3
- Senior Software Engineer3
6 most common titles, by people who held them.
First job on the record for 23% of people here.
Behind the median
Everyone here with an Eng Scorer read, placed in their caliber tier.
- 11%Exceptional4 people
- 34%Strong12 people
- 37%Solid13 people
- 17%Emerging or unproven6 people
35 of the 35 people here carry an Eng Scorer tier.
Exceptional and strong are the top two of the five tiers. 16 of the 35 people here with a read sit in them, 46%. A tier is the band an Eng Scorer caliber score falls in, so this is the same measurement as the median on the caliber card, opened up. A tier holding fewer than 3 people is printed together with the one next to it, because a bucket that small is a person rather than a pattern.
Whether a title rose here
The level of the first title recorded here, against the last.
48%Titles that rose16 of 33 classified people
- 48%Rose16 people
- 52%Stayed level or fell17 people
33 of the 35 people here had a title that could be placed on the ladder before and after.
A title rose when the last title recorded here sits higher on the ladder than the first; for someone who recorded one title here and then left, it is measured against the first title of their next role. The ladder runs intern, junior, mid, senior, staff or manager, principal, director, VP, then founder or C-level. A title that matches no rung is left out rather than guessed, and product, program and project managers are left out entirely, being a different ladder. That leaves 33 of the 35 people here classified, and it leans towards people who have left: someone still here on a single recorded title has nothing to be measured against. A direction holding fewer than 3 people is printed together with the one next to it, because a bucket that small is a person rather than a pattern.
Where they studied
- Carnegie Mellon24.2%
- Harvard12.1%
- Duke9.1%
- MIT9.1%
- Princeton9.1%
- University of Virginia9.1%
The 6 most listed schools among the 33 people here with a school on file.
Of the 33 people here with a school on file, 8 list Carnegie Mellon, 4 list Harvard and 3 list Duke. A person can list more than one school, so these overlap rather than add up.
Public work
one square is one in a hundred
57%have a public GitHub account on their profile
20 of the 35 people here whose profile was checked for public accounts. An account the check did not find reads the same as no account, so this is a floor rather than a census.
Across the 325 companies on the map that can show this figure, the median is 38%.
Where they are now
46% of the people who have worked at Applied Predictive Technologies and list a location live in New York today, against 33% of everyone on the map.
Applied Predictive Technologies
Everyone on the map
- 46%New York16 · map 33%
- 43%SF Bay Area15 · map 47%
- 11%Somewhere else4
All 35 people who worked at Applied Predictive Technologies list a location, and every share here is over them.
Where they live now, from the profile as it reads today, not where they sat while they worked at Applied Predictive Technologies: a metro here does not mean the company has an office in it. The lower strip is the same metros across the whole map, for comparison.
On the same resumes
Companies that show up most often alongside Applied Predictive Technologies, at any point in a career.
Key facts
- 35 people on the Zelcast alumni map have worked at Applied Predictive Technologies: 0 are there now and 35 have moved on.
- The most common next employer after Applied Predictive Technologies is Google (6 people, 17% of recorded departures), followed by Mastercard and Mastercard Insights & Intelligence.
- The median tenure at Applied Predictive Technologies is 2y 2m (middle half 1y 10m to 2y 7m).
- Of those who moved on from Applied Predictive Technologies, fewer than 3 went on to a founder title, 9% joined a company with 200 or fewer people, and 21% joined a company with 10,000 or more.
- The median Eng Scorer caliber of people who have worked at Applied Predictive Technologies is 85 on the 0 to 99 scale (35 scored).
- The most common title held at Applied Predictive Technologies is Software Engineer Intern, then Software Engineer.
- Of the 33 people here with a school on file, 8 list Carnegie Mellon (24.2%), then Harvard (4). A person can list more than one school, so these overlap rather than add up.
- 46% of the 35 people here who list a location live in New York today, against 33% of everyone on the map. That is where they live now, not the office they sat in while they worked here.
- 57% of the 35 people here whose profile was checked for public accounts have a public GitHub account on it.
About this data: built from 144,786 jobs across 26,572 engineers in the Zelcast network and Eng Scorer reads, updated August 20, 2026. A move counts when the next role starts within 24 months of leaving; companies with fewer than 20 people on the map are not shown, and destinations with fewer than 3 people are folded into the totals. Caliber is the Eng Scorer score.
Worked at Applied Predictive Technologies? See how your profile reads to a startup hiring manager, and where it ranks among 26,572 engineers.
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