$5,753.02 crowdfunded from 925 people
$4,837.66 received from matching pools
JobStash is a data aggregator focused on offchain and onchain Data for Jobs, Protocols, Organization, and Open Source Ecosystems. We currently index 200+ organizations and track data for thousands of jobs, but only show the most recent ones. We currently serve ±4.5k users with job posts on a daily basis.
Short Term Goal
We will launch a new set of tools to allow developers to review organizations they have worked with in the past, creating an anonymous, verified and decentralized GlassDoor for Crypto.
This will allow developers to make better informed decisions around which protocols they intend to work with, while increasing the transparency of the crypto job market as a whole.
What is the objective of JobStash?
The core focus is data aggregation of Open Source Developer Ecosystems, Crypto Organizations, their Projects and Job Vacancies.
We present projects and organizations in a complete, permanent and authoritative way by showing critical metrics such as TVLs, Hacks, Raises, Usage stats, and more to come soon.
We are currently hard at work building data pipelines which allow us to calculate previously unavailable data about open source projects.
Ultimately our goal is to become the first open source ecosystem analytics tool specifically built for crypto, while providing our users with quantifiable insights about teams and individual developers. More information about this soon, or upon request.
Why should I support JobStash?
Our platform is fully independent, bootstrapped, and supports open-source DeFi protocols, networks, and other off-chain infrastructures in need of technical staff. As our platform is provided as a public good, we currently don’t require monetary contributions for listings or placement bounties. Your contribution allows us to keep building, and to keep ourselves free, neutral and unbiased.
We are Independent
Being independent and not having a pay-per-post model allows us to keep safety high by only ingesting job opportunities from organizations that are credible in the space, thus avoiding incidents caused by submissions from anons which contain malware, as is currently happening.
Our unfair advantage
Simply put: this is not your average job board.
Our platform is fully automated and ingests data from APIs exposing job listings and we are currently building advanced scrapers which will allow us to ingest job opportunities which are simply not found on the traditional job market because these organizations publish on platforms which do not support automatic integrations.
We solve the two-sided market bootstrapping problem by having a fully automated platform which requires no manual input from organizations to list their jobs.
In the near future we will allow consenting developers to opt in and have their opensource public contributions analyzed and ranked to solve issues around fake profiles and impostors which commonly plague sourcing departments at organizations.
Concept Preview of reviews
Problems We Are Addressing
- Safety of job ads due to misaligned monetary incentives for publishing job ads. Being free of pay-for-post model incentivizes us to publish only high quality data.
- Insight on organizations is limited, and there is no verified place where one can find reviews about a company. We fix this by requiring that users who want to leave a review have a verifiable credential that directly ties them to the project, in the present, or in the past.
- Difficulty in identifying the most relevant and high-potential job openings in a rapidly evolving space.
Solutions We Are Proposing
- A set of verifiable ZK credentials that allow users to post anonymous reviews about current and past employers
- Allowing users to describe what their contribution was to a specific project, in private, so this may be communicated effectively with prospective employers
- The first ever set of open source ecosystem analytics specifically built for crypto. This is an ambitious subproject and will take some time to be delivered.
Value
Our platform aims to place the right people in the right job as efficiently as possible by providing the best and most up-to-date information.
This enables all parties to independently make informed decisions throughout the job application process, ultimately contributing to the growth and success of the entire crypto ecosystem.
Team Information
Our diverse, globally distributed team consists of 4 devs and a designer.
Our founding team:
- @duckdegen, a Software Engineer with 17 years of Web2 Experience building all sizes of projects from Startup to Enterprise and in various roles from Engineering to Sales, from Developer Relations to Founder.
- @enricobach, a Software engineer with experience in building trade, sniping and data aggregation platforms.
Past successes:
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March 2023: Launch of Telegram Channels
Launched [https://t.me/jobstash & https://t.me/jobstash_nondev](https://t.me/jobstash & https://t.me/jobstash_nondev) in March 2023 and reached 2700 subscribers for the technical channel, and 1600 subscribers for the nontechnical channel, fully organically -
April 2023: GitCoin Quadratic Funding
Participated in the GitCoin Beta Ecosystem & Education round and got ±1k USD in contributions+matching. -
May 2023: Launch of MVP WebApp
https://app.jobstash.xyz -
June 2023: First Candidate Placement
Placed first candidate in June 2023 at Reserve Protocol, in a fully organic way. -
July 2023: First Paying Customer
Got first paying client for our Jobs dataset [vcdata.site]
Use of Funds
Funds received will cover infrastructure bills and support our engineers in working full-time without external influences. Our costs include GitHub, OpenAI, Figma, hosting, and various software vendor licenses (±500 USD/mo). We aim to compensate our contributors fairly, considering living costs in their regions across Europe, Southeast Asia, and Africa.
JobStash History
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accepted into RFP: Create list of donors for each GG19 project 10 months ago.
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accepted into Web3 Community and Education 1 year ago. 925 people contributed $5,753 to the project, and $4,838 of match funding was provided.