287 Matching Annotations
  1. Jun 2020
    1. For me the best part of Upcoming was being able to see what events my friends are going to. With their redesign, Upcoming decided to hide that behind two clicks. Now when you go to the site, I see whats popular in San Francisco, but I have to click to see what my friends are upto. Even on an events page, I can no longer easily see if any of my friends are going there. Instead I am shown the groups and tags. But I have to click to see who is attending.

      tiny changes to the UX. not understanding the JTBD of your product

    1. I kind of wish there was an HN like job site that was widely used in corporate America but didn’t have all the ‘content’. Just an online resume

      wondering what's the original purpose of adding the news feed to LI, the product decision.

      lack of understanding I think. to drive "engagements" and keep eyeballs? what's the incentives and how do they relate to LI's biz model?

    1. Theoretical Yields When reactants are not present in stoichiometric quantities, the limiting reactant determines the maximum amount of product that can be formed from the reactants. The amount of product calculated in this way is the theoretical yield, the amount obtained if the reaction occurred perfectly and the purification method were 100% efficient. In reality, less product is always obtained than is theoretically possible because of mechanical losses (such as spilling), separation procedures that are not 100% efficient, competing reactions that form undesired products, and reactions that simply do not run to completion, resulting in a mixture of products and reactants; this last possibility is a common occurrence. Therefore, the actual yield, the measured mass of products obtained from a reaction, is almost always less than the theoretical yield (often much less). The percent yield of a reaction is the ratio of the actual yield to the theoretical yield, multiplied by 100 to give a percentage: percent yield=actual yield (g)theoretical yield(g)×100%(3.7.29)
    1. Most people think you build the product then you market it. Thinking in loops means you build the marketing into the product. The product doesn't precede the marketing. The product is the marketing.

      By thinking in loops Harry Dry refers to a way of thinking about your acquisition strategy as being part of your product.

      This reminds me of Brian Balfour's idea of product-channel fit and how stresses that the product gets shaped by its acquisition channel.

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  2. May 2020
    1. We're closing the Support Forum issue tracker in favor of the Community Forum and support channels. We recognize that the Support Forum issue tracker has not received much attention in the last few months, and want to redirect our community members to locations that are regularly monitored by GitLab staff. As a result, this issue will be moved to the GitLab product issue tracker and triaged there.
    1. The folks at Netlify created Netlify CMS to fill a gap in the static site generation pipeline. There were some great proprietary headless CMS options, but no real contenders that were open source and extensible—that could turn into a community-built ecosystem like WordPress or Drupal. For that reason, Netlify CMS is made to be community-driven, and has never been locked to the Netlify platform (despite the name).

      Kind of an unfortunate name...

  3. Apr 2020
    1. 1Password wasn’t built in a vacuum. It was developed on top of open standards that anyone with the right skills can investigate, implement, and improve. Open tools are trusted, proven, and constantly getting better. Here’s how 1Password respects the principles behind the open tools on which it relies:

      I found it ironic that this proprietary software that I have avoided using because it is proprietary software is touting the importance of open tools.

    1. Automattic uses WordPress to power WordPress.com, and it contributes back code and time to the WordPress project. It is a symbiotic relationship. It isn’t accurate to say that WordPress is Automattic’s product, or that WordPress came from Automattic. Indeed, the opposite is true — Automattic came from WordPress, and Automattic (through WordPress.com) exists as part of the vast WordPress community and ecosystem.

      That's probably a common misconception. I'm glad they clarified that because I might have assumed that as well:

      It isn’t accurate to say that WordPress is Automattic’s product, or that WordPress came from Automattic. Indeed, the opposite is true — Automattic came from WordPress, and Automattic (through WordPress.com) exists as part of the vast WordPress community and ecosystem.

  4. Mar 2020
    1. Rojas-Lozano claimed that the second part of Google’s two-part CAPTCHA feature, which requires users to transcribe and type into a box a distorted image of words, letters or numbers before entering its site, is also used to transcribe words that a computer cannot read to assist with Google’s book digitization service. By not disclosing that, she argued, Google was getting free labor from its users.
  5. Feb 2020
    1. To never block or remove features from k6 in order to make them exclusive to Load Impact’s SaaS productStrive not to delay introduction of new features in the k6 OSS tool, if the feature was planned to appear both there and in Load Impact’s SaaS productTo never introduce into the k6 OSS tool any artificial limits designed to promote conversion to Load Impact’s SaaS productTo work with the community, participating in and prioritize building the functionality the k6 community wants, making it the prefered tool for load testing
    2. With k6, our goal has always been to create the best load testing tool for the modern working developer and that we do this in collaboration with the k6 community. Our revenue will not come from k6 directly, but from premium value creating offers based on k6. These offers will be made available at https://loadimpact.com. Load Impact premium offers will have focus on providing further simplicity, productivity and ease to use functionality.
    3. We believe the key to Load Impact’s long-term success as a Company is to foster an active community of users around k6 as an open source project. To achieve this long-term goal, it is vital that we do not withhold new features from k6 based on whether or not they compete with our SaaS offering.
    4. Load Impact is a for profit organization, and recognizes that there is a need to balance this requirement with the needs of the k6 open source project. In the longer run, we strongly believe that those two needs will rarely be in conflict.
  6. Nov 2019
  7. Oct 2019
    1. But your customers are not the exclusive source of product feedback. Some of the most valuable suggestions for improvement can also appear during initial sales calls with prospects, internal evaluation of new features in your organization, and during design research and quality assurance motions.

      customer feedback and usage data is often presented as the gold standard for feedback re: product development - interesting to see other sources mentioned here

    1. “Say you’re trying to test whether people like pizza. If you serve them burnt pizza, you’re not getting feedback on whether they like pizza. You only know that they don’t like burnt pizza. Similarly, when you’re only relying on the MVP, the fastest and cheapest functional prototype, you risk not actually testing your product, but rather a poor or flawed version of it.”
  8. Sep 2019
  9. Aug 2019
    1. Now, I'd rather pay for a product that sticks around than have my personal data sold to use a free product that may not be around tomorrow. I value my privacy much more today. If you're not paying for the product... you are the product being sold.
  10. Mar 2019
    1. E-commerce has special requirements when it comes to showing products for sale online. A uniform look and feel to the products, showing the product rather than background, product alignment, image margins and special requirements per product category characterize e-commerce.

      We have top class designers who is expert on graphics design. We provide clipping path. background remove, image retouching service. We are also expert on eCommerce photo editing.

  11. Feb 2019
    1. }-lume who seeks to understand the operations of mind.

      In this sense, the mind is a machine, which operates in order to produce a certain product. What is this product? Knowledge? Can the product differ between people and instances?

  12. Jan 2019
    1. As an element of self-training, writing has, to use an expression that one finds in Plutarch, an ethopoietic function: it is an agent of the transformation of truth into ethos.

      This reminds me of Robert Yagelski's Writing as a Way of Being, where writing as the act, the experience, is what's valuable, not so much the product that results. The experience of writing allows a transformation of the writer.

  13. Dec 2018
    1. A small blog neighborhood hiding in plain sight.

      An even smaller neighborhood are the folks lurking in an annotation over your post, since they're disconnected from the comment roll below. Possibly an integration opportunity?

  14. Nov 2018
    1. The issue is that they are often not allowed to work as they need to.  Specifically, in so many companies, they are not truly empowered to work as they need to.
  15. Oct 2018
    1. The user's latent factors represent the preference of that user for the corresponding item's latent factors

      The higher the value of the dot product between the two, the higher the preference.

  16. Jun 2018
    1. Example1.40 (Product poset).Given posetsπP;∫andπQ;∫, we may define a posetstructure on the product setPQby settingπp;q∫  πp0;q0∫if and only ifpp0andqq0. We call this theproduct poset. This is a basic example of a more generalconstruction known as the product of categories
  17. Nov 2017
  18. Oct 2017
    1. product manager as a technical, user-focused team leader working closely with engineers and designers to guide products

      Short definition of what is a Product Manager

    1. Now, in the long run great product management usually makes the difference between winning and losing, but you have to prove it. Product management also combines elements of lots of other specialties - engineering, design, marketing, sales, business development. Product management is a weird discipline full of oddballs and rejects that never quite fit in anywhere else. For my part, I loved the technical challenges of engineering but despised the coding. I liked solving problems, but I hated having other people tell me what to do. I wanted to be a part of the strategic decisions, I wanted to own the product. Marketing appealed to my creativity, but I knew I’d dislike being too far away from the technology. Engineers respected me, but knew my heart was elsewhere and generally thought I was too “marketing-ish.” People like me naturally gravitate to product management.

      This describes me! This is me! This is why I am a Product Manager.

  19. Aug 2017
    1. Research debt is the accumulation of missing interpretive labor. It’s extremely natural for young ideas to go through a stage of debt, like early prototypes in engineering. The problem is that we often stop at that point. Young ideas aren’t ending points for us to put in a paper and abandon. When we let things stop there the debt piles up. It becomes harder to understand and build on each other’s work and the field fragments.
  20. Mar 2017
    1. Now that you have your component hierarchy, it's time to implement your app. The easiest way is to build a version that takes your data model and renders the UI but has no interactivity. It's best to decouple these processes because building a static version requires a lot of typing and no thinking, and adding interactivity requires a lot of thinking and not a lot of typing.
    2. You can build top-down or bottom-up. That is, you can either start with building the components higher up in the hierarchy (i.e. starting with FilterableProductTable) or with the ones lower in it (ProductRow). In simpler examples, it's usually easier to go top-down, and on larger projects, it's easier to go bottom-up and write tests as you build.
    3. To build a static version of your app that renders your data model, you'll want to build components that reuse other components and pass data using props. props are a way of passing data from parent to child. If you're familiar with the concept of state, don't use state at all to build this static version. State is reserved only for interactivity, that is, data that changes over time.
    4. Since you're often displaying a JSON data model to a user, you'll find that if your model was built correctly, your UI (and therefore your component structure) will map nicely. That's because UI and data models tend to adhere to the same information architecture, which means the work of separating your UI into components is often trivial. Just break it up into components that represent exactly one piece of your data model.
  21. Jan 2017
    1. Its results endure longer too
    2. Bob gained 20 pounds of new muscle, with no increase in body fat!
    3. By dramatic, I mean bodybuilders will double their rate of muscle growth in a little as six to eight weeks! And they can add 1 to 3 inches to their arms--an amazing amount of pure muscle to their legs and calves--even if they thought they had already "maxed" out.
    4. The Bulgarians have developed and perfected a much higher-level training approach that produces results I had a hard time believing were possible.
    5. dramatic improvements in their own results
    6. The approach you're probably using to train with could be improved by nearly 70%!
  22. Nov 2016
  23. Oct 2016
    1. Outside of the classroom, universities can use connected devices to monitor their students, staff, and resources and equipment at a reduced operating cost, which saves everyone money.
  24. Sep 2016
    1. it’s productive to not only think of schools and colleges as sites of learning, but also as marketplaces where goods, knowledge, and services are consumed and produced

      Agreed that it’s productive. But isn’t it also about framing (formal/institutional) education in purely economic terms? Useful to think about goods and services which have exchange value. May be a bit too easy to slip into the implicit idea that a learner is among the system’s key products.

    2. frame the purposes and value of education in purely economic terms

      Sign of the times? One part is about economics as the discipline of decision-making. Economists often claim that their work is about any risk/benefit analysis and isn’t purely about money. But the whole thing is still about “resources” or “exchange value”, in one way or another. So, it could be undue influence from this way of thinking. A second part is that, as this piece made clear at the onset, “education is big business”. In some ways, “education” is mostly a term for a sector or market. Schooling, Higher Education, Teaching, and Learning are all related. Corporate training may not belong to the same sector even though many of the aforementioned EdTech players bet big on this. So there’s a logic to focus on the money involved in “education”. Has little to do with learning experiences, but it’s an entrenched system.

      Finally, there’s something about efficiency, regardless of effectiveness. It’s somewhat related to economics, but it’s often at a much shallower level. The kind of “your tax dollars at work” thinking which is so common in the United States. “It’s the economy, silly!”

    1. often private companies whose technologies power the systems universities use for predictive analytics and adaptive courseware
    2. the use of data in scholarly research about student learning; the use of data in systems like the admissions process or predictive-analytics programs that colleges use to spot students who should be referred to an academic counselor; and the ways colleges should treat nontraditional transcript data, alternative credentials, and other forms of documentation about students’ activities, such as badges, that recognize them for nonacademic skills.

      Useful breakdown. Research, predictive models, and recognition are quite distinct from one another and the approaches to data that they imply are quite different. In a way, the “personalized learning” model at the core of the second topic is close to the Big Data attitude (collect all the things and sense will come through eventually) with corresponding ethical problems. Through projects vary greatly, research has a much more solid base in both ethics and epistemology than the kind of Big Data approach used by technocentric outlets. The part about recognition, though, opens the most interesting door. Microcredentials and badges are a part of a broader picture. The data shared in those cases need not be so comprehensive and learners have a lot of agency in the matter. In fact, when then-Ashoka Charles Tsai interviewed Mozilla executive director Mark Surman about badges, the message was quite clear: badges are a way to rethink education as a learner-driven “create your own path” adventure. The contrast between the three models reveals a lot. From the abstract world of research, to the top-down models of Minority Report-style predictive educating, all the way to a form of heutagogy. Lots to chew on.

  25. Jul 2016
    1. It starts by rejecting the canard that a university education is just another commodity.
    2. There are outputs, such as graduates, increased social mobility and higher standards of living.
    3. Don't turn students into consumers – the US proves it's a recipe for disaster
  26. Jun 2016
    1. You feel like you're engaged in enjoyable play when your thinking has the right level of ambiguity and uncertainty FOR YOU

      Play is haptic. It has a feel. And that feel is very idiosyncratic (and not customizable).

  27. Apr 2016
  28. Mar 2016
  29. arxiv.org arxiv.org
    1. Letβ:V×V→Wbe a symmetric bilinear form whereVand (W,h,i) arereal vector spaces of finite dimensionnandp, respectively, equipped withinner products.Thes-nullityνsofβfor any integer 1≤s≤pis defined byνs= maxUs⊂Wdim{x∈V:βUs(x, y) = 0 for ally∈V}.HereβUs=πUs◦βwhereUsis anys-dimensional subspace ofWandπUs:W→Usdenotes the orthogonal projection.LetR:V×V×V×V→Rbe the multilinear map with the algebraicproperties of the curvature tensor defined byR(x, y, z, w) =hβ(x, w), β(y, z)i − hβ(x, z), β(y, w)i.Lemma 4.Assume that2p < nandνs< n−2sfor all1≤s≤p. LetV=V1⊕V2be an orthogonal splitting such thatR(x, y, z, u) =R(x, y, u, v) =R(x, u, v, w) = 0for anyx, y, z∈V1andu, v, w∈V2. Then,S=span{β(x, y) :x∈V1andy∈V2}= 0.
    1. second fundamental_form h satisfies h(TpL,xTpLj =0 forallp E M

      Para o nosso caso, assumir essa hipótese com respeito a decomposição do espaço tangente ao longo do bordo.

  30. Feb 2016
    1. because of feelings of belonging and obligation to the community.
    2. “lurkers” who passively consume content.

      More via/direct linking on social media will allow this type of behavior.

    3. Content organization refers to features that require little effort from the user and that help fellow users receive useful information about the content. These features include the “like” button and options such as ratings (star ratings or a numerical scale) or tagging content with user-suggested keywords.

      Hypothes.is lacks this first step in the ladder. We don't have a like button. Tagging doesn't seem as easy as it could be.

      Maybe when we rethink page level notes, we might prioritize calling user to action there: tag the text; maybe offer a broad statement/description.

    4. if we were to ask people whether clicking on a “like” button next to a short video clip is identical to leaving a detailed comment, the answer would probably be a clear “no.”

      Sequencing calls to action from liking to commenting.

    5. Social activity on a website can increase users’ commitment to the site and willingness to pay for its services.

      So social engagement increases brand loyalty.

      Seems like that could be a key to Medium's success.

    6. When the tasks that users were prompted to engage in were not presented in increasing order of effort level, users tended to donate and participate less than when tasks were ordered that way.

      Awareness of a user's lifecycle from exploring to adoption to megauser is key.

    7. “calls to action,” issued at different points in time
  31. Dec 2015
  32. Mar 2015
    1. an objective set for the Sprint that can be met through the implementation of Product Backlog. It provides guidance to the Development Team on why it is building the Increment. It is created during the Sprint Planning meeting. The Sprint Goal gives the Development Team some flexibility regarding the functionality implemented within the Sprint. The selected Product Backlog items deliver one coherent function, which can be the Sprint Goal. The Sprint Goal can be any other coherence that causes the Development Team to work together rather than on separate initiatives.

      an objective set for the Sprint that can be met through the implementation of Product Backlog. It provides guidance to the Development Team on why it is building the Increment. It is created during the Sprint Planning meeting. The Sprint Goal gives the Development Team some flexibility regarding the functionality implemented within the Sprint. The selected Product Backlog items deliver one coherent function, which can be the Sprint Goal. The Sprint Goal can be any other coherence that causes the Development Team to work together rather than on separate initiatives.

  33. Aug 2013
    1. Flash messages (#233) Static asset build script (#161) Finish registration form flow (#159) Separate detail and bucket views (#162)

      the road map on hypothes.is