The Sample

Productivity

newsletter discovery

SHOW HN2021

67points
32comments
#710of 2,533 in 2021
Top 29%of 2021 by points

How HN took it

DebatedReal support and real criticism

6 positive, 5 neutral or asking, 0 mixed, 4 critical, out of 15 comments about the project. Thread score +0.12.

Idea: 3 for, 2 againstDesign: 0 for, 1 againstPerformance: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Novel use of recommender systems for newsletter discovery

    From 3 comments
    • Very interesting use of reco engines! I always thought that the current state of newsletter discovery is very poor. At the same time, I would not be ok with a product owning the…
      giansegato on HN
    • The sample newsletter looked interesting, so I signed up. Thanks for providing a sneak-peek.
      beders on HN
    • Interesting, thanks! Have signed up.
      dmje on HN
  • Human curation combined with ML is a good approach

    From 1 comment
    • I like that, so it's helping humans find the news but deferring the final selection.
      visarga on HN

Objections

  • Recommendations feel poor for some users; many low-rated newsletters

    From 1 comment
    • I've been signed up to The Sample for a few months now, getting one newsletter a day. Each newsletter includes a link to rate it from 1 star to 5 stars. I consistently rate the…
      CallMeJim on HN
  • Risk of echo chambers from ML filtering

    From 2 comments
    • Is there any mechanism to prevent you from forming your own super-echo-chamber? ML filtering only what you and your similar profiles like seems possibly have problematic…
      desine on HN
    • Thank you for sharing your approach, I find it very interesting. I've worked in some systems that also optimize for "serendipity"[1], which is just optimizing not only for…
      thegginthesky on HN
  • Categories are too broad

    From 1 comment
    • I'm definitely interested! But.... NOTE: These are not criticisms so much as release 1.1 (or even 2.0) use cases.... The categories are too broad (and, for some use cases, the 21…
      PeterWhittaker on HN

Requests

  • Diversity of viewpoints, not just topics

    From 1 comment
    • Instead of 20% being completely random, could you instead present some newsletters that are completely opposite to what they prefer? For example, if someone actively reads…
      atlgator on HN
  • Write-up or open-source of how the recommender works

    From 1 comment
    • Thanks. I'll try that. > a surprisingly difficult problem for people not familiar with recommender systems Do you feel like open-sourcing and/or writing a post on how it works? I…
      qwerty456127 on HN
  • Ability to set priorities across subscribed newsletters

    From 1 comment
    • > Moreover investment of time on user side for newsletter delivering news increases with each newsletter vs One newsletter delivering what I want. You might be interested in this…
      jacobobryant on HN

Questions

  • Can the system avoid forming an echo chamber?

    From 1 comment
    • Is there any mechanism to prevent you from forming your own super-echo-chamber? ML filtering only what you and your similar profiles like seems possibly have problematic…
      desine on HN
  • Why newsletters instead of news articles directly?

    From 1 comment
    • Hey Jacob, Why Newsletters instead of News directly? (I read [2]) i.e. Personal curated news as that would apply to everyone who consumes news and just not those who consume…
      Abishek_Muthian on HN

Alternatives named

  • The Factual

    From 1 comment
    • > Moreover investment of time on user side for newsletter delivering news increases with each newsletter vs One newsletter delivering what I want. You might be interested in this…
      jacobobryant on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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