Love this! @reneedefour uses a bunch of fields here too… that may be useful to you, but remember that fields are optional prompts, not chores! When I tag a #gift, I have fields for who it’s for and whether I’ve given it already or not.
Can be as low or high friction as you want. Here you'll see two ways I captured a gift idea for Ally and both will show up with a LINKS_TO search. LINKS_TO is a wildcard field, and will pull up any relationship to nodes that reference "Ally."

Image
Here's something a bit fancy - you can add this search directly to the #person supertag, so every person has a query for gift ideas that reference them. By putting PARENT in the value for the field, you make the live search dynamic. Image
I'd probably do it a bit different though since most people in my workspace wouldn't get gifts. In @tana_inc, you can apply multiple tags to the same node, so I'd add the search to a new supertag and apply that to any person who I give gifts to Image

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More from @RobertHaisfield

Nov 10
Every user being verified as human would be valuable to Twitter as a public good. That's not visceral to individuals. One of the problems with verification as a paid service is that most people aren't worried about impersonation, so don't experience the pain directly.
I don't like the idea of making Twitter "pay to play" by charging for reach. Fortnite, one of the most profitable games in the world, never sells players an advantage against other players... it's all cosmetic, self-expression stuff. Game itself is free.
Generally agree with the thrust of this vid that Twitter could gain greater profitability by researching what's worth paying for... most people don't need to care about impersonation. Many top creators want better analytics, better API access, etc.
Read 4 tweets
Oct 25
Love the reframing towards “linked data” as I suspect more people will understand that vs. ontologies. Data describes objects and links them together! Sometimes those links have labels, which you can do through fields. A schema is a consistent way that data links up.
Of course, as time goes on, we want to make this technical mumbo jumbo invisible. People use relational columns in linked notion tables without knowing what a relational database is. We’re still figuring out the best words to use to convey Tana’s mental models at a visceral level
The tricky part is that Tana does present a fundamentally new set of mental models… we want to make an “object-oriented graph db with optional schemas” broadly accessible! Since this is so new, many users want to understand the historical language for it and how it’s been used.
Read 4 tweets
Oct 13
I would not fully attribute @tana_inc's "steep learning curve" to difficulty. From user research, I'd hypothesize the curve mostly comes unfamiliarity. Once bits of it start to click, they climb fast.

"a steep learning curve, but I'm seeing value quickly"
People who watch videos by our community or team (see help center help.tana.inc for both) experience greater success once they start

This isn't why we have a waitlist and we'd love to clear it quickly, but pre-familiarity is a happy side effect

People with a list of interesting prior software tools in the productivity / note making space also pick up Tana quickly.

While Tana is novel in many ways, many early users tried in prior tools to implement hacky workarounds to what we've built native.

Read 5 tweets
Oct 4
Whether you're working in files and folders, or in a database like Notion, the problem is the same. You have to figure out where to put data (which folder, which table) before you write it.

In @tana_inc, you start by writing data, then the nodes flow into tables through searches
It's not just tables - we can view live search results in different ways: as a list, gallery, board. But here you'll see that I'm searching an entire workspace for a few fields. Fields aren't owned by a table. Many types of node might have the same fields

We have an "End-user(s)" field that we use as metadata for #feature requests, #bug reports, and #frictions. In Notion, those would be three different tables. In Tana, I could easily create a table out of all nodes with a specific end-user, regardless of their tag or location.
Read 5 tweets
Jun 27
Given that @geobrowser is a web3 app posting on-chain, users need a wallet and (traditionally would need) funds. However, we want to bring new people to web3.

Have you ever tried doing that? Creating a wallet and getting money on-chain often kills the onboarding experience 🧵👇
When a new user goes through onboarding, we generate a wallet on their device, removing the need to go through another "app" onboarding (likely more frustrating than ours) first

Then we abstract away the need to fund wallets before users can do anything with metatransactions!
Since we're running on @graphprotocol and @0xPolygon, query fees in $grt and txn fees in $matic are part of our cost model.

Getting money into a wallet often requires days of waiting and weird hurdles, losing potential web3 users.

So we abstract that away with metatransactions!
Read 6 tweets
Jun 14
It seems obvious to me that semantic search has some role to play in the "Search as a primitive" design discussion. scalingsynthesis.com/I-Search-as-a-…

Still need to fill out the edge connecting it to the question about the role of AI in facilitating discourse graphs scalingsynthesis.com/Q-What-is-the-…
I haven't collected much on this yet, but I'll try...

Neural databases are well set up for answering questions about domains without predefined schema (often the case with innovation). We can deliberately encode prior knowledge into the training.

scalingsynthesis.com/Q-Can-neural-n…
When people want AI support in their integrated thinking environment, it's because they want to use their own prior thinking as training data. Respecting the context the user lays down is key to building an insightful conversation partner

Read 9 tweets

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