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Deepsource's automated code review tool is a boon for developers to write better codes by fixing bugs and defects pre-production
DeepSource is an automated code review tool that helps developers write better code by finding and automatically fixing bugs and defects before the code is pushed to production. It integrates with popular code hosting platforms like GitHub, GitLab, BitBucket, and so on, and points to problems in the code to the developers every time they push changes or make a pull-request. DeepSource finds issues like bug risks, anti-patterns, security vulnerabilities, performance problems, style violations, documentation gaps, and deficiency of test coverage in source code.
2018
Founding Team Hired
Sanket and Jai start working on DeepSource, and are joined by their first engineering hire, Mohit.
2019
Mar | Product Launch
First release of DeepSource, with support for Python programming language and integration with GitHub.
Aug | Raised Funding
$140K raised in a pre-seed round, with participation from angels from Silicon Valley and India.
2020
Jan | Accelerator / Incubator Program
Accepted into Y Combinator Winter 2020 batch.
Raised Funding
Raised a seed round of $2.6M from prominent Silicon Valley investors.
B2B
Virtual/Micro labs for Educational Institutions, On-demand productivity/design/dev tools for Small and Medium Enterprises.
Client Segment
:
EdTech/Education,
Enterprise Tech,
Services,
Software
Target Companies
:
Startup,
Small Enterprise,
Medium Enterprise
Target Geography
:
B2C
Individuals accessing professional desktop software.
User Age
:
18 to 25,
26 to 34,
35 to 45
User Income
:
Lower-middle Income,
Upper-middle Income,
High Income
Location
:
Frequently Asked Questions