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ML Researcher Pain Points

What best describes your role?

*

What best describes your role?

A

Research Scientist

B

ML Engineer

C

PhD Student

D

Applied Scientist

E

Research Lead

F

Other

What do you primarily work on?

*

What do you primarily work on?

A

LLM

B

Computer Vision

C

RL

D

Multimodal

E

Recommender Systems

F

Infra & Tooling

G

Other

Where do you work?

*

Where do you work?

A

Company

B

Academia

C

Independent

D

Research Lab

What's the most frustrating part of your day-to-day research workflow right now?

*

How much time do you spend on non-research tasks (data cleaning, infra setup, experiment tracking, writing boilerplate) vs. actual research thinking?

*

How much time do you spend on non-research tasks (data cleaning, infra setup, experiment tracking, writing boilerplate) vs. actual research thinking?

A

<20%

B

20-40%

C

40-60%

D

60%+

Which of these causes you the most pain?

*

Which of these causes you the most pain?

Experiment tracking

Hypothesis and related experiments tracking

Reproducing experiments

Setting up environments for experiments

Compute access

Data labeling / curation

Debugging training runs

Reading/keeping up with papers

Collaboration across team

Writing up results / documentation

Deploying models to production

Other

Tell me about the last time this pain point cost you real time or made you want to quit for the day.

*

Have you tried to solve this with an existing tool? If so, which one, and what didn't work?

*

If a tool solved this perfectly, how much would that be worth to you or your team monthly?

*

If a tool solved this perfectly, how much would that be worth to you or your team monthly?

A

Wouldn't pay

B

$10-50

C

$50-200

D

$200-1000

E

$1000+

F

Not my budget decision

Want early access?

*

Want early access?

A

Yes, I'd love to join the alpha group and help shape the features!

B

No