This story was originally published on HackerNoon at: https://hackernoon.com/launching-a-product-soon-heres-how-to-amplify-it-in-5-steps.
5 steps to amplify your product launch and turn short term buzz into long term traffic, plus how HackerNoon's Business Blogging can help you.
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This story was written by: @hackmarketing. Learn more about this writer by checking @hackmarketing's about page, and for more stories, please visit hackernoon.com.

Launching a product? Here are 5 steps to amplify your launch and make the buzz last beyond day one, from lining up your story early to making your content work in multiple formats. Plus, see how HackerNoon's Business Blogging Program (4M+ readers, 51.5M X impressions from just 3 stories, multi-language and audio distribution) can help you execute steps 2 through 5.

This story was originally published on HackerNoon at: https://hackernoon.com/general-purpose-visual-programming-language-pipe-earns-an-86-proof-of-usefulness-score-by-building-a-structurally-secure-self-healing-language.
Pipe scored 86 on HackerNoon's Proof of Usefulness algorithm. Here's an honest look at what that score does and doesn't prove.
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This story was written by: @olegkabanov. Learn more about this writer by checking @olegkabanov's about page, and for more stories, please visit hackernoon.com.

Pipe, a general-purpose visual programming language addressing AI-driven software risks, scored 86 on HackerNoon's Proof of Usefulness algorithm, landing in the lowest positive tier. The gap is exactly where expected: no live product yet means no traction or adoption evidence. Here's what's actually being built to close it.

This story was originally published on HackerNoon at: https://hackernoon.com/mediapipe-face-mesh-landmark-indices-cheat-sheet.
Complete visual reference for all 478 MediaPipe Face Mesh landmarks. Grouped by face region with copy-paste JavaScript code for eyes, mouth, nose and jawline.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #mediapipe-guide, #computer-vision, #javascript, #machine-learning, #face-detection, #augmented-reality, #mediapipe-face-mesh, #face-mesh-indices, and more.

This story was written by: @metSander. Learn more about this writer by checking @metSander's about page, and for more stories, please visit hackernoon.com.

A complete reference for all 478 MediaPipe Face Mesh landmark indices, organized by face region. Includes a quick-lookup table for the most-searched points (eye corners, mouth, nose tip, chin), copy-paste JavaScript snippets for blink, smile, mouth-open, eyebrow-raise and head-direction detection, plus an interactive explorer to hover any point on your own face. Built from real face-controlled browser game projects.