lurk-rs VS google-search-results-nodejs

Lurk Lab @ Protocol Labs | Multiple Positions | REMOTE | Full-time

Lurk Lab is building Lurk (https://github.com/lurk-lang), a Turing-complete programming language for recursive zk-SNARKs. Lurk implements a minimal Lisp whose program executions can be proved in zero-knowledge, yielding succinct proofs that are concretely small and fast to verify. Lurk uses a Rust implementation (https://github.com/lurk-lang/lurk-rs) for expression evaluation, proving, and verification, with Nova (https://github.com/microsoft/Nova/) as its proving backend. Because Lurk is Turing-complete, it can be used to make and prove arbitrary computational claims (within resource limits).

We are looking for strong cryptography engineers, researchers, functional programming language specialists, applications developers, and start-up leaders/web3 entrepreneurs who want to build next-generation SNARK technology.

Ideal candidates will be knowledgeable about the state of the art in zero-knowledge proofs and (if looking for an engineering position) strong in Rust.

We are specifically hiring for:

- Rust Cryptography Engineers

Lurk Lab is building Lurk (https://github.com/lurk-lang), a Turing-complete programming language for recursive zk-SNARKs. Lurk implements a minimal Lisp whose program executions can be proved in zero-knowledge, yielding succinct proofs that are concretely small and fast to verify. Lurk uses a Rust implementation (https://github.com/lurk-lang/lurk-rs) for expression evaluation, proving, and verification, with Nova (https://github.com/microsoft/Nova/) as its proving backend. Because Lurk is Turing-complete, it can be used to make and prove arbitrary computational claims (within resource limits).

We are looking for strong cryptography engineers, researchers, documentation specialists, applications developers, and start-up leaders/web3 entrepreneurs who want to build next-generation SNARK technology. Relevant programming languages include Rust, Lisp, and (less significantly) WASM.

We are hiring for:

- Rust Cryptography Engineers, https://grnh.se/d94e94ec4us

- Software Engineers for Lurk Application Development, https://grnh.se/de7e82424us

- Documentation Engineer, https://grnh.se/10e2ca4d4us

- Start-up operator / business lead (currently unlisted, email [email protected] with CV and a brief cover letter describing your experience driving the business end of deep technical projects in the web3 space)

I recently published a fairly detailed blog post about how to formulate expressive provable programs in Lurk (https://github.com/lurk-lang/lurk-rs). Although this post goes into no details about the underlying proving mechanism, it does build to some pretty powerful ideas. If you haven't thought about the implications of being able to prove correctness of a computation without revealing some or all details of what the computation actually was, you might enjoy it. https://blog.lurk-lang.org/posts/prog-intro/

Lurk Lab @ Protocol Labs | Multiple Positions | REMOTE | Full-time contract-to-hire

Lurk Lab is building Lurk (https://github.com/lurk-lang), a Turing-complete programming language for recursive zk-SNARKs. Lurk implements a minimal Lisp whose program executions can be proved in zero-knowledge, yielding succinct proofs that are concretely small and fast to verify. Lurk uses a Rust implementation (https://github.com/lurk-lang/lurk-rs) for expression evaluation, proving, and verification, with Nova (https://github.com/microsoft/Nova/) as its proving backend. Because Lurk is Turing-complete, it can be used to make and prove arbitrary computational claims (within resource limits).

We are looking for strong cryptography engineers, researchers, documentation specialists, applications developers, and start-up leaders/web3 entrepreneurs who want to build next-generation SNARK technology. Relevant programming languages include Rust, Lisp, and (less significantly) WASM.

We are hiring for:

- Rust Cryptography Engineers, https://grnh.se/d94e94ec4us

Nova (for example) doesn't require a trusted setup. The circuit is just a schematic description of the underlying computation. In the case of the Lurk core language, this computation is 'one reduction step of a Lurk evaluation' (https://github.com/lurk-lang/lurk-rs/blob/master/spec/reduct...). Coming up with a 'fixed computation' that yields general computation is part of the design problem for Lurk (or any other Lurk-like language). Even if we did need a per-circuit trusted setup (which we don't), we could perform such a setup for our core circuit and use it to prove arbitrary programs. For example, although we have not actually performed the trusted setup, we do have an example using Groth16 (which does require a trusted setup to be secure) and aggregates the potentially many discrete reduction steps to produce a succinct proof.

The Google Search URL parameters are important to understand whether you are maximizing the conversion rate in your ad groups and optimizing your cost per click(CPC) rates in Google Analytics for your ad campaigns, improving your SEO(Search Engine Optimization) metrics for your e-commerce business, or collecting data for your social media project. Using custom parameters for your search will affect the Search Engine Result Page (SERP) data significantly in your favor. SerpApi unlocks the power of SERP data to you with minimal effort, the fastest response times, and in the most complete form.

A SERP API key set in the SERP_API_KEY variable.

SerpApi | https://serpapi.com | Junior-to-Senior Fullstack Engineer | Illustrator and Graphic Designer | Based in Austin, TX but remote-first structure | Full-time | ONSITE or FULLY REMOTE | $150K - 180K a year 1099 for US or local avg + 20% for outside the US

SerpApi is the leading API to scrape and parse search engine results. We deeply support Google, Google Maps, Google Images, Bing, Baidu, and a lot more.

Our current stack is Ruby, Rails, MongoDB, and React.JS. We are looking for more Junior and Senior FullStack Engineers.

We have an awesome work environment: We are a remote first company (before Covid!). We do continuous integration, continuous deployments, code reviews, code pairings, profit sharing, and most of communication is async via GitHub.

We value super strongly transparency, do open books, have a public roadmap, and contribute to the EFF.

Apply at: https://serpapi.com/careers

SerpApi | https://serpapi.com | Junior-to-Senior Fullstack Engineer | Illustrator and Graphic Designer | Based in Austin, TX but remote-first structure | Full-time | ONSITE or FULLY REMOTE | $150K - 180K a year 1099 for US or local avg + 20% for outside the US

SerpApi is the leading API to scrape and parse search engine results. We deeply support Google, Google Maps, Google Images, Bing, Baidu, and a lot more.

Our current stack is Ruby, Rails, MongoDB, and React.JS.

This code needs two API keys: one for the OpenAI API (GPT-4 is used by the CrewAI "Agents" by default) and one for the SerpAPI (you can create an account for free).

Sign up for free at SerpApi.

SERPApi: SERPApi is a powerful tool that provides developers with an easy and efficient way to extract search engine results page (SERP) data using API.

Assuming privacy is not a concern for coding questions, you can use the following web search APIs to augment your LLM's knowledge - Google's web search API: https://serpapi.com/ - You.com's web-search API: https://api.you.com/ - Metaphor's web-search API: https://platform.metaphor.systems/ - StackExchange question search API: https://api.stackexchange.com/docs/advanced-search

I run a large Rails application (https://serpapi.com), and the issues that would be solved with the type system would be close to nil.

SerpApi is an API for scraping Google and other search engines with fast, easy, and complete solutions. Our team is tackling a challenge within our operational database where we house a Locations collection featuring predefined data structures. We aim to offer these locations to clients reliably and allow them to utilize these in their searches with SerpApi's Google Search API, demonstrating the interconnected functionality of various types of databases. You may register to claim free credits to try out our products