Ne

Nectr–trying to kill the résumé over here

Hacker News

Nectr–trying to kill the résumé over here

Hi HN, I'm Matthew from Nectr (https://nectr.network). Nectr is a service that lets IT professionals easily create a free, sharable profile that accurately captures your skills, experience and availability. With this functionality "in the can", we're in midst of extending our service to let you create a genuine, uncontrived network of colleagues that you've actually worked with and who can accurately confirm your skills and experience. These confirmations will form the edges in our graph that comprise your first degree network. As a long time freelancer, I started working on Nectr to fill a requirement that I've long had: ditching my Word-formatted résumé for good—and automatically answering the oft-asked question: "Are you available?". Existing options (LinkedIn, StackOverflow, JSON resume, etc.) just don't fit the bill. How is Nectr different than the alternatives? - Your profile (example here: https://nectr.pub/12507/matthew.mcneely) is completely open—the viewer does not need to have an account on Nectr. You can also append .json to the end of your profile URL to get a machine-friendly version. The ability to maintain your profile will always be free. - Your skills and platform knowledge are bound to entries in our knowledge graph of IT skills and platforms. This has (obvious?) advantages over the simple keyword tags used in most other services. - Our concept of availability is extremely granular. For instance, you can set an availability for a certain rate, or engagement type or zip code. In other words, we know that availability isn't binary. Further, we know that people can have multiple availabilities. For example, you might be willing to work on freelance crypto projects up to 10 hours a week after hours, but also might be open to a full time job close to your home. - If you hate our UI (hey, we get it), we'll soon open up our GraphQL API so you can maintain your profile programmatically. We're currently in preview release (aka unfunded!), so we're limiting the number of accounts while we work out the kinks. If you're an IT professional and this sounds like something you'd be down for, you can sign up here: https://nectr.network

Share card

Actual performance

4points
6comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, code, open · Missing: agents, macos, agent
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, friendly, soon · Missing: plus, intuitive, reviews
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Ki
Kill The Landline56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kill The Landline

Hacker News34
Is
Is it time to kill Scrum?52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Is it time to kill Scrum?

Hacker News4
Ki
Kill Analytics54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kill Analytics

Hacker News21
Pe
Perfectionism Will Kill Your Startup58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Perfectionism Will Kill Your Startup

Hacker News5
Kakrola
Kakrola59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kill the tab circus

Product Hunt+236Productivity
Pa
ParsePort - A kill switch for Parse45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ParsePort - A kill switch for Parse

Hacker News17
Re
Researchers identify molecule that can kill cancer cells59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Researchers identify molecule that can kill cancer cells

Hacker News4
veil
veil37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

8 Best Sploofs for Weed That Actually Kill the Smell

Indie Hackers
Te
Teamreporter – Kill your meetings in less than 5 minutes54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Teamreporter – Kill your meetings in less than 5 minutes

Hacker News2
A
A digital coach to kill procrastination43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A digital coach to kill procrastination

Hacker News6