Show HN: TribePulse – more thoughtful internal discussion platform for teams https://ift.tt/38ZksJQ

Show HN: TribePulse – more thoughtful internal discussion platform for teams https://ift.tt/2NsYFDJ February 25, 2020 at 01:48AM

Liked on YouTube: مين بيحب الاكله دى زى 👌يعمل لايك تشجيع 😋

مين بيحب الاكله دى زى 👌يعمل لايك تشجيع 😋

اشتركوا وفعلوا الجرس ليصلكم منى كل جديد نورتونى
via YouTube https://youtu.be/LfPLDU8Z81U

مين بيحب الاكله دى زى 👌يعمل لايك تشجيع 😋

Show HN: AiDee – a open source micro-framework for Touch ID and Face ID https://ift.tt/2HROHX5

Show HN: AiDee – a open source micro-framework for Touch ID and Face ID https://ift.tt/398hmTy February 25, 2020 at 12:16AM

Show HN: Back pain triage web-app, solution MVP https://ift.tt/2Tehpqi

Show HN: Back pain triage web-app, solution MVP https://ift.tt/37ZZSr7 February 24, 2020 at 11:47PM

Reminder: Service Changes Now in Effect

Reminder: Service Changes Now in Effect
By Enrique Aguilar

This past Saturday, the San Francisco Municipal Transportation Agency (SFMTA) made several changes to improve Muni service. These changes will improve reliability and connections, reduce crowding and provide one-seat rides for weekend early morning Metro service with bus substitutions. Affected routes include the J, KT, L, M and N Metro lines, 7 Haight-Noriega, 23 Monterey, 1AX, 1BX, 31AX, 31BX, 38AX, and 38BX.

Weekend Early Morning Metro Bus Service

To reduce the need for transfers during early weekend morning service, all metro lines will be served by bus after the end of Owl service and before Metro stations open. Metro stations open at 6 a.m. on Saturday and 8 a.m. on Sundays. The new early morning metro bus will be a one-seat ride to your destination.

To reduce overcrowding and increase transit reliability on weekdays, the 7 Haight/Noriega will begin running 60-foot buses.  Adding bigger buses to weekday service will provide Muni customers more seats and comfort during morning and evening commutes.

23 Monterey Reroute

Due to construction at SFPUC’s Southeast Treatment Plant, the 23 Monterey will be rerouted from Jerrold to Palou between Toland and Phelps. New bus stops will align with the 24 Divisadero.

Richmond Expresses

The last runs of the day for Muni’s evening Richmond Express service will change, which includes the 1AX, 1BX, 31AX, 31BX, 38AX, and 38BX. Customers are advised to check schedules and note alternate routes. For customers traveling outbound at 7:00 p.m., alternate routes include the 1 California on Davis and Sacramento streets or the 38 Rapid at Fremont and Market streets.

Please pay attention to Muni Alert signs for instructions or look for Muni ambassadors near the affected bus route stops to answer your questions.

12 Folsom/Pacific Extension in Spring 2020

As Muni prepares to update the 12 Folsom/Pacific route to travel through Rincon Hill, we've been keeping a close eye on construction on Folsom Street. Although the Transbay Folsom Streetscape Improvement Project is making progress, conditions on Folsom east of 2nd Street are not yet ready to serve the 7,000 daily customers who ride the 12 Folsom/Pacific. If construction proceeds at the current pace, we anticipate launching the new route in Spring 2020

To learn more, please visit the project page.

Published February 24, 2020 at 10:12PM
https://ift.tt/2Vi4QwN

Show HN: Py package to collect normalized news from (almost) any website https://ift.tt/38VpeYN

Show HN: Py package to collect normalized news from (almost) any website https://ift.tt/37YJFTc February 24, 2020 at 09:02PM

Show HN: AirPPT – Go from PowerPoint to HTML/CSS UI in Seconds https://ift.tt/2SUy4QH

Show HN: AirPPT – Go from PowerPoint to HTML/CSS UI in Seconds https://ift.tt/2KMZVzz February 24, 2020 at 09:00PM

Launch HN: Syndetic (YC W20) – Software for explaining datasets https://ift.tt/2Pl92s6

Launch HN: Syndetic (YC W20) – Software for explaining datasets Hi HN, We're Allison and Steve of Syndetic ( https://ift.tt/32nmmRL ). Syndetic is a web app that data providers use to explain their datasets to their customers. Think ReadMe but for datasets instead of APIs. Every exchange of data ultimately comes down to a person at one company explaining their data to a person at another. Data buyers need to understand what's in the dataset (what are the fields and what do they mean) as well as how valuable it can be to them (how complete is it? how relevant?). Data providers solve this problem today with a "data dictionary" which is a meta spreadsheet explaining a dataset. This gets shared alongside some sample data over email. These artifacts are constantly getting stale as the underlying data changes. Syndetic replaces this with software connected directly to the data that's being exchanged. We scan the data and automatically summarize it through statistics (e.g., cardinality), coverage rates, frequency counts, and sample sets. We do this continuously to monitor data quality over time. If a field gets removed from the file or goes from 1% null to 20% null we automatically alert the provider so they can take a look. For an example of what we produce but on an open dataset check out the results of the NYC 2015 Tree census at https://ift.tt/38UuiMN... . We met at SevenFifty, a tech startup connecting the three tiers of the beverage alcohol trade in the United States. SevenFifty integrates with the backend systems of 1,000+ beverage wholesalers to produce a complete dataset of what a restaurant can buy wholesale, at what price, in any zipcode in America. While the core business is a marketplace between buyers and sellers of alcohol, we built a side product providing data feeds back to beverage wholesalers about their own data. Syndetic grew out of the problems we experienced doing that. Allison kept a spreadsheet in dropbox of our data schema, which was very difficult to maintain, especially across a distributed team of data engineers and account managers. We pulled sample sets ad hoc, and ran stats over the samples to make sure the quality was good. We spent hours on the phone with our customers putting it all together to convey the meaning and the value of our data. We wondered why there was no software out there specifically built for data-as-a-service. We also have backgrounds in quantitative finance (D. E. Shaw, Tower Research, BlackRock), large purchasers of external data, where we've seen the other side of this problem. Data purchasers spend a lot of time up-front evaluating the quality of a dataset, but they often don’t monitor how the quality changes over time. They also have a hard time assessing the intersection of external datasets with data they already have. We're focusing on data providers first but expect to expand to purchasers down the road. Our tech stack is one monolithic repo split into the frontend web app and backend data scanning. The frontend is a rails app and the data scanning is written in rust (we forked the amazing library xsv). One quirk is that we want to run the scanning in the same region as our customers' data to keep bandwidth costs and transfer time down, so we're actually running across both GCP and AWS. If you're interested in this field you might enjoy reading the paper "Datasheets for datasets" ( https://ift.tt/3c494hD ) which proposes a standardized method for documenting datasets modeled after the spec sheets that come with electronics. The authors propose that “for dataset creators, the primary objective is to encourage careful reflection on the process of creating, distributing, and maintaining a dataset, including any underlying assumptions, potential risks or harms, and implications of use.” We agree with them that as more and more data is sold, the chance of misunderstanding what’s in the data increases. We think we can help here by building qualitative questions into Syndetic alongside automation. We have lots of ideas of where we could go with this, like fancier type detection (e.g. is this a phone number), validations, visualizations, anomaly detection, stability scores, configurable sampling, and benchmarking. We'd love feedback and to hear about your challenges working with datasets! February 24, 2020 at 07:08PM

New video by ابتكار / invention on YouTube - go check it out ;-)

Watch on YouTube here: اختراعات عبقرية يمكنك عملها بنفسك الآن New innovations
Via Christian Gasper

Show HN: Asynq – Simple, reliable, and efficient distributed task queue for Go https://ift.tt/3a1FEio

Show HN: Asynq – Simple, reliable, and efficient distributed task queue for Go https://ift.tt/30vyMGf February 24, 2020 at 12:05PM

Show HN: Neo.mjs, the webworkers driven UI framework https://ift.tt/2SU7Q0P

Show HN: Neo.mjs, the webworkers driven UI framework https://ift.tt/2STc5d7 February 24, 2020 at 10:40AM

Show HN: City Filter – Travel to the Right Cities at the Right Time https://ift.tt/2STUEZX

Show HN: City Filter – Travel to the Right Cities at the Right Time https://ift.tt/2Phu0HZ February 24, 2020 at 03:11PM

Show HN: Bubblemon, System load meter for human beings https://ift.tt/2VotEU9

Show HN: Bubblemon, System load meter for human beings https://ift.tt/38WgUIf February 24, 2020 at 02:53PM

Show HN: An Online Personal Organizer https://ift.tt/3a0SMUV

Show HN: An Online Personal Organizer https://ift.tt/32wTeYF February 24, 2020 at 12:09PM