الأربعاء، 5 أغسطس 2020

Show HN: ML Model Recognizes Sketch as you draw it https://ift.tt/3ibtEPm

Show HN: ML Model Recognizes Sketch as you draw it https://ift.tt/31koNEB August 6, 2020 at 07:32AM

Show HN: Why Is Privacy Something You Should Care About? https://ift.tt/30xaTjt

Show HN: Why Is Privacy Something You Should Care About? https://ift.tt/3idP7ae August 6, 2020 at 05:11AM

Show HN: Building an open-source and high-quality webcam with a Raspberry Pi 0 W https://ift.tt/3gDZOmo

Show HN: Building an open-source and high-quality webcam with a Raspberry Pi 0 W https://ift.tt/31lrAgZ August 6, 2020 at 02:55AM

Show HN: LifeHacks – Discover the best life hacks, tips, and tricks https://ift.tt/3iibnjz

Show HN: LifeHacks – Discover the best life hacks, tips, and tricks https://lifehacks.tips/ August 5, 2020 at 09:33PM

Show HN: I made a steganography program https://ift.tt/2ESZYrX

Show HN: I made a steganography program https://ift.tt/2PlgB1d August 4, 2020 at 01:54PM

Show HN: We're building a virtual meetup platform https://ift.tt/31oM1cU

Show HN: We're building a virtual meetup platform https://app.venu.tv August 5, 2020 at 11:50PM

Show HN: Create fast multithreading User Interfaces outside of Node.js https://ift.tt/2PvKBre

Show HN: Create fast multithreading User Interfaces outside of Node.js https://ift.tt/2PtB44c August 5, 2020 at 10:27PM

Show HN: Europe Covid-19 cases, densities, and trends at a glance https://ift.tt/2Prx3NB

Show HN: Europe Covid-19 cases, densities, and trends at a glance https://ift.tt/3fvZC7f August 5, 2020 at 08:53PM

Show HN: Solid Carbon https://ift.tt/2PtpUwk

Show HN: Solid Carbon https://ift.tt/3gzLSJO August 5, 2020 at 08:34PM

Virtual Public Hearing on the Folsom Quick-Build Project

Virtual Public Hearing on the Folsom Quick-Build Project
By Benjamin Barnett

bikers in the bike lane
Existing conditions of the project area that are slated for improvements.

The SFMTA will be holding a Virtual Engineering Public Hearing on the Folsom Quick-Build Project. This project is an effort to improve traffic safety and comfort for all people traveling along Folsom Street between Second and Fifth streets by implementing cost-effective and temporary design treatments that can be installed quickly. At the event you can learn more about the proposed changes, ask questions, or make official public comments.

Virtual Public Hearing Details:  

The interactive, online event can be accessed at any time during the two-week period listed below. Like the SFMTA’s in-person project open houses, when you access the event you will be able to learn more about the project such as the schedule, project background, and other aspects through virtual informational boards. The public will then have an opportunity to see the proposed design, ask questions via email, and leave a public comment about the project. Project staff will respond to questions and comments received and the responses will be posted back to the Virtual Public Hearing web page in a couple of days.

Join us online any time starting 9:30 a.m. Wednesday, August 12 through 11:30 p.m Thursday, August 26 by visiting SFMTA.com/FolsomQBHearing

Proposed Quick-build Improvements

The Folsom Street Quick-Build project serves as a temporary traffic safety improvement while the longer-term Folsom Howard Streetscape project finishes the detailed design and prepares for construction. The project will implement the following quick-build improvements to improve traffic safety:

  • Upgrade the existing bike lane to a parking-protected bikeway in the eastbound direction to provide a more comfortable and separated space for people riding bikes
  • Daylighting and modifying or adding advanced limit lines at intersections to improve visibility
  • Improve loading conditions for businesses and residents in the area
  • Traffic lane reduction to redistribute roadway space for all road users

bikes on the bike path
Existing conditions of the project area that are slated for improvements.

Folsom-Howard Streetscape Project

Since 2016, the SFMTA has been working to improve traffic safety and livability on Folsom Street, as part of the Folsom-Howard Streetscape Project in support of the city’s commitment to Vision Zero. After several years of community engagement, analysis, and conceptual design development, the project was approved by the SFMTA Board of Supervisors in June 2019. The project is now in the detailed design phase and the project team is working on finalizing civil design details, coordinating utility work for the proposed hardscape changes, and developing construction level documents.

This project is in support of the and its main goal is to quickly improve traffic safety conditions for all who travel along Folsom Street. This project will implement traffic safety improvements to better facilitate interactions of various modes, reduce the potential for conflicts, and increase comfort in bicycling and walking.

Language Assistance:  

For free interpretation services, please submit your request 48 hours in advance of meeting to 415.646.4270 

Para servicios de interpretación gratuitos, por favor haga su petición 48 horas antes de la reunión a 415.646.4270 

如果需要免費口語翻譯,請於會議之前48小時提出要求 415.646.4270 

Para sa libreng serbisyo sa interpretasyonkailangan mag-request 48 oras bago ang miting 415.646.4270 



Published August 05, 2020 at 09:09PM
https://ift.tt/2Pu7KKK

Show HN: I've compiled a list of the books Paul Graham recommended on Twitter https://ift.tt/3fwPeMn

Show HN: I've compiled a list of the books Paul Graham recommended on Twitter https://ift.tt/30tSBiP August 5, 2020 at 07:19PM

Show HN: Intentionally Bad UI: The Volume Knob Seesaw https://ift.tt/31gX088

Show HN: Intentionally Bad UI: The Volume Knob Seesaw https://ift.tt/3kgYfNm August 5, 2020 at 06:51PM

Show HN: HyperProphet – The Easiest Way Run FB Prophet at Scale https://ift.tt/3kdTeFa

Show HN: HyperProphet – The Easiest Way Run FB Prophet at Scale We are Anand and Raghav, the creators of HyperProphet (https://ift.tt/2Dq5nWV), a tool to enable developers to compute thousands of forecasts in minutes using fbprophet without worrying about infrastructure. Scaling forecast computation is a hard problem, often costs developers in productivity. Even established organizations spend a lot of time trying address this, but often the outcomes are not easy to use and manage[1][2]. We spent the last few years building a demand planning product for CPG and retail in which we had to forecast thousands of time-series. Computing such huge number forecasts in a reasonable time was a challenge. Facebook’s Prophet was one of our work-horse algorithms. Although Prophet made many things easy, it was still slow for a large dataset. Speed was critical for quick experimentation. To improve the speed, we built a small library to run compute on AWS Lambda. Encouraged by the early results, we built an in-house service HyperProphet which we are sharing with you today. The key features of HyperProphet are: - Fast: compute thousands of forecasts in minutes - Simple: switch from Prophet to HyperProphet by changing a couple of lines of code - Productive: experiment with forecasts in your notebooks without worrying about infrastructure HyperProphet is in early beta, and we are looking for more people to try it and give us feedback. We would love to see it used in diverse use cases and see how it performs. We see possible use-cases across multiple industries for capacity planning, anomaly detection, financial planning, among others. If you have any thoughts, we’d love to hear them in the comments! [1]: https://ift.tt/3icvv6E [2]: https://ift.tt/39XwCnG August 5, 2020 at 06:38PM

Show HN: CNN Model Recognizes Sketch in Real Time https://ift.tt/3iatrfb

Show HN: CNN Model Recognizes Sketch in Real Time https://ift.tt/31koNEB August 5, 2020 at 06:12PM

Show HN: Mount Etcd into a local folder – understand how Kubernetes stores data https://ift.tt/2DmUTHX

Show HN: Mount Etcd into a local folder – understand how Kubernetes stores data https://ift.tt/2EG6iTp August 5, 2020 at 06:06PM

Show HN: Yarc – bidirectional notes in markdown, accessible over API https://ift.tt/3gAWV5C

Show HN: Yarc – bidirectional notes in markdown, accessible over API https://ift.tt/3keBqcW August 5, 2020 at 05:27PM

Launch HN: Speedscale (YC S20) – Automatically create tests from actual traffic https://ift.tt/2Po7pcJ

Launch HN: Speedscale (YC S20) – Automatically create tests from actual traffic We’re Ken, Nate and Matt, co-founders of Speedscale ( https://speedscale.com ), a tool that automatically generates continuous integration (CI) tests from past traffic. Carefully scaling rollouts to ever larger groups of customers is the safest deployment strategy, but can take weeks. Even for elite DevOps organizations up to 15% of changes to production can result in degraded service [1] [2]. We met as undergrads at Georgia Tech and come from a DevOps and operations background so we’ve seen this first hand. Each of us has over 15 years of experience building high-reliability systems, starting in the early days with satellite earth station monitoring. As interns we once wrote a bug that caused a 32 meter antenna to try to point down through the earth, almost flattening the building we were in. It was a great environment to learn about engineering reliability. We leveraged this experience to tackle monitoring Java app servers, SOA, SaaS observability and cloud data warehouses. What if we could use a form of observability data to automatically test the reliability of new deployments before they hit production? That’s the idea that got us started on Speedscale. Most test automation tools record browser interactions or use AI to generate a set of UI tests. Speedscale works differently in that it captures API calls at the source using a Kubernetes sidecar [3] or a reverse proxy. We can see all the traffic going in and out of each service, not just the UI. We feed the traffic through an analyzer process that detects calls to external services and emulates a realistic request and response -- even authentication systems like OAUTH =). Unlike guessing how users call your service, Speedscale automation reflects reality because we collected data from your live system. We call each interaction model a Scenario and Speedscale generates them without human effort leading to an easily maintained full-coverage CI test suite. Scenarios can run on demand or in your build pipeline because Speedscale inserts your container into an ephemeral environment where we stress it with different performance, regression, and chaos scenarios. If it breaks, you can decide the alerting threshold. Speedscale is especially effective in ensuring compliance with subtle Service Level Objective (SLO) conditions like performance regression [4]. We're not public yet but would be happy to give you a demo if you contact us at hello@speedscale.com. Also, we are doing alpha customer deployments to refine our feature set and protocol support - if you have this problem or have tried to solve it in the past we would love to get your feedback. Eventually we’ll end up selling the service via a subscription model but the details are still TBD. For the moment we’re mainly focused on making the product more useful and collecting feedback. Thanks! [1] https://ift.tt/2Po7iOl... [2] https://ift.tt/2XsQtpC... [3] https://ift.tt/31pKvax... [4] https://ift.tt/3gug5du... August 5, 2020 at 03:59PM

Show HN: Extension to highlight new posts on HN frontpage since your last visit https://ift.tt/2Pp7dts

Show HN: Extension to highlight new posts on HN frontpage since your last visit https://ift.tt/30uuOiN August 5, 2020 at 10:01AM

Show HN: RedditVids – Reddit Videos Aggregator https://ift.tt/39XGNIN

Show HN: RedditVids – Reddit Videos Aggregator https://redditvids.com/ August 5, 2020 at 11:20AM

Show HN: 100% automatically remove video backgrounds with ML (Unscreen Pro) https://ift.tt/3kf7mhy

Show HN: 100% automatically remove video backgrounds with ML (Unscreen Pro) https://ift.tt/33rq27D August 5, 2020 at 10:04AM

Show HN: Kvak.io – Online Notepad https://ift.tt/3iavIXP

Show HN: Kvak.io – Online Notepad http://kvak.io/?n=intro August 5, 2020 at 08:28AM