Topcoder Member Records ‌✱ disclaimer

Do you find there is no good way at the official ‌Topcoder website to see and show others your member records? Are you interested to know, how much your fellow Topcoder members earn? This tool provides visualization of Topcoder community member records, and estimates their earnings.

Look-up

Updated on Nov 27, 2023
NOTE: Updates of member records have been disabled on Dec 14, 2023 as changes in the underlying Topcoder APIs rendered the current implementation non-functional. Currently there is no certain plan to fix it.

Ksys

Rating: ‌1949

Estimation of Competitor Earnings

Total days spent competing: ‌108 days

Total earnings from competing: 15,900 US dollars

Estimated effective hourly rate: ‌18.3 USD / hour

Records Legend:

/ / ‌ – Topcoder Open Champion in a Data Science / Development / Design track.
1st – challenge winner
2nd – challenge runner-up
– another prize placement
– copilot (technical project manager)
1st

MS Power Automate - MS Planner Data Export POC

Technologies: Microsoft Azure
Dates: Feb 15 – 20, 2023
Prize: $1,000
1st

CAA - Python Script Creation 2

Technologies: AWS, Python
Dates: Nov 4 – 9, 2022
Prize: $800
1st

[72h] CAA - Python Script Creation

Technologies: AWS, Python
Dates: Nov 2 – 5, 2022
Prize: $400
1st

[72h] Integrate Topcoder Looker Data Using Zapier

Technologies: API, JSON
Dates: Aug 27 – 30, 2021
Prize: $600
1st

NASA QGroundControl - Send Vehicle Data Using DDS

Technologies: C++, Docker, QGroundControl, Qt
Dates: Jul 18 – 24, 2021
Prize: $1,200
1st

24h NASA Human Factor Client - Support Drones and Waypoints

Technologies: Python
Dates: Jul 13 – 14, 2021
Prize: $400
1st

QGroundControl - Add Data Distribution Service Support

Technologies: C++, QGroundControl, Qt
Dates: Jul 6 – 13, 2021
Prize: $1,200
2nd

NASA QGroundControl System - Human Factor Client Fixes

Technologies: Python
Dates: Jun 30 – Jul 2, 2021
Prize: $300
1st

72h NASA - QGroundControl System - Telemetry Log Data Exploration

Technologies: C++, Docker, QGroundControl, Qt
Dates: Apr 1 – 4, 2021
Prize: $400
2nd

NASA - QGroundControl System - S2D Fixes part 1

Technologies: C++, QGroundControl, Qt
Dates: Mar 5 – 13, 2021
Prize: $600
2nd

[Quick 72hrs] Plan Optimizer - Validation Tool

Technologies: C++
Dates: Jan 1 – 4, 2021
Prize: $450
2nd

CSV or Links to API Python script

Technologies: API, Python
Dates: Dec 28 – 31, 2020
Prize: $100
1st

Challenge AI - Member Skill Extractor API Updates Part 2

Technologies: Django, Dynamodb, Python, REST
Dates: Dec 13 – 20, 2020
Prize: $1,000
1st

[72h] Challenge AI - Member Skill Extractor API Updates

Technologies: Docker, Dynamodb, Python
Dates: Nov 24 – 27, 2020
Prize: $600
2nd

Challenge AI - Generating Member Skills Profile

Technologies: API, Data Science, Math, Python
Dates: Jun 26 – Jul 8, 2020
Prize: $700
1st

Quartz Energy - Water chemistry calculator API updates

Technologies: Python
Dates: Jul 16 – 18, 2019
Prize: $350

[FAST 48 hrs] Qlik Sense Extension POC - Table creation using AngularJS

Technologies: Angular.js (1.0)
Dates: Jul 6 – 8, 2019
Prize: $150
1st

[48hrs] Quartz Energy - Klinkenberg Calculator API Updates

Technologies: Python
Dates: Jun 29 – Jul 1, 2019
Prize: $400
1st

[48 hrs] Quartz Energy - Blessed Rock calculator API updates challenge

Technologies: MongoDB, Python
Dates: Jun 28 – 30, 2019
Prize: $600
2nd

[72 hr] Quartz Energy - Blessed Rock Properties

Technologies: Python
Dates: Jun 21 – 25, 2019
Prize: $400
2nd

Quartz Energy - Klinkenberg calculator API challenge

Technologies: MongoDB, Python
Dates: Jun 20 – 23, 2019
Prize: $400
1st

[48hrs] Quartz Energy - Water saturation estimate API updates challenge

Technologies: Python
Dates: Jun 18 – 20, 2019
Prize: $600
2nd

Quartz Energy - XRD CEC API

Technologies: MongoDB, Python
Dates: May 23 – 26, 2019
Prize: $500
2nd

Quartz Energy Tension Data Validation Challenge

Technologies: Python
Dates: Oct 30 – Nov 9, 2018
Prize: $900
1st

OpenWarp - Create Automated Test Scripts Contest Part 1

Technologies: Fortran, Python
Dates: Jun 15 – 20, 2016
Prize: $1,000

Popular Members


✱) Disclaimer

This service is non-official, and it is not related with Topcoder company. Workload and earning estimates are based on public data available from public Topcoder APIs, and they might be incomplete and erroneous. In particular:

  • Member records include only challenges (i) in which selected member won a prize superior to $100; or (ii) which were copiloted by the member. All first=to-finish challenges are deliberately excluded from the records. Most of data science challenges (Marathon and Single Round Matches) are missing in the records, because they are not reported by the public Topcoder API used by this service (with exception of very recent Marathon Matches).
  • Some records are manually added / corrected for selected members,e.g. to include Topcoder Open victories into results.
  • The time spent by member on competing (copiloting) is estimated as the overall runtime of corresponding challenges included into this member's records. The runtime of a challenge is calculated from the challenge registration start to its submission deadline. If several challenges from member records were running on the same day, that day is counted only once. Overall, this is a very rough estimation of member worktime, which may be very different from the actual time/efforts spent by a member on its challenges.
  • Total earnings from competing are estimated as a sum of prizes won by selected member in the challenges included into his records. The public Topcoder API does not disclose the actual copiltoing payments received by copilots for each challenge, thus to estimate copiloting earning we assume the standard $600 copilot payment for regular-size challenges, and $5000 payment for Marathon Matches.
  • The effective hourly rate is estimated as the total competing (copiloting) earnings divided by 1/3 of estimated time spent by member on copiloting/competing (because the competing/copiloting time estimates are done as the total runtime of a challenge, and do not factor in ~8h out of 24h workday).

Overall, the absolute estimations of workload, earnings, and effective hourly rate should be taken with a grain of salt; however, these estimations should be adequate to compare relative earnings and workload of different members.

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