Craft and publish engaging content in an app built for creators.
NEW
Publish anywhere
Post on LinkedIn & Mastodon too. More platforms coming soon.
Make it punchier š
Typefully
@typefully
We're launching a Command Bar today with great commands and features.
AI ideas and rewrites
Get suggestions, tweet ideas, and rewrites powered by AI.
Turn your tweets & threads into a social blog
Give your content new life with our beautiful, sharable pages. Make it go viral on other platforms too.
+14
Followers
Powerful analytics to grow faster
Easily track your engagement analytics to improve your content and grow faster.
Build in public
Share a recent learning with your followers.
Create engagement
Pose a thought-provoking question.
Never run out of ideas
Get prompts and ideas whenever you write - with examples of popular tweets.
@aaditsh
I think this thread hook could be improved.
@frankdilo
On it š„
Share drafts & leave comments
Write with your teammates and get feedback with comments.
NEW
Easlo
@heyeaslo
Reply with "Notion" to get early access to my new template.
Jaga
@kandros5591
Notion š
DM Sent
Create giveaways with Auto-DMs
Send DMs automatically based on engagement with your tweets.
And much more:
Auto-Split Text in Posts
Thread Finisher
Tweet Numbering
Pin Drafts
Connect Multiple Accounts
Automatic Backups
Dark Mode
Keyboard Shortcuts
Creators loveĀ Typefully
150,000+ creators andĀ teams chose Typefully to curate their Twitter presence.
Marc Kƶhlbrugge@marckohlbrugge
Tweeting more with @typefully these days.
š Distraction-free
āļø Write-only Twitter
š§µ Effortless threads
š Actionable metrics
I recommend giving it a shot.
Jurre Houtkamp@jurrehoutkamp
Typefully is fantastic and way too cheap for what you get.
Weāve tried many alternatives at @framer but nothing beats it. If youāre still tweeting from Twitter youāre wasting time.
DHH@dhh
This is my new go-to writing environment for Twitter threads.
They've built something wonderfully simple and distraction free with Typefully š
Santiago@svpino
For 24 months, I tried almost a dozen Twitter scheduling tools.
Then I found @typefully, and I've been using it for seven months straight.
When it comes down to the experience of scheduling and long-form content writing, Typefully is in a league of its own.
After trying literally all the major Twitter scheduling tools, I settled with @typefully.
Killer feature to me is the native image editor ā unique and super useful š
Visual Theory@visualtheory_
Really impressed by the way @typefully has simplified my Twitter writing + scheduling/publishing experience.
Beautiful user experience.
0 friction.
Simplicity is the ultimate sophistication.
Queue your content inĀ seconds
Write, schedule and boost your tweets - withĀ noĀ need forĀ extra apps.
Schedule with one click
Queue your post with a single click - or pick a time manually.
Pick the perfect time
Time each post to perfection with Typefully's performance analytics.
Boost your content
Retweet and plug your posts for automated engagement.
Start creating a content queue.
Write once, publish everywhere
We natively support multiple platforms, so that you can expand your reach easily.
Check the analytics thatĀ matter
Build your audience with insights that makeĀ sense.
Writing prompts & personalized postĀ ideas
Break through writer's block with great ideas and suggestions.
Never run out of ideas
Enjoy daily prompts and ideas to inspire your writing.
Use AI for personalized suggestions
Get inspiration from ideas based on your own past tweets.
Flick through topics
Or skim through curated collections of trending tweets for each topic.
Write, edit, and track tweetsĀ together
Write and publish with your teammates andĀ friends.
Share your drafts
Brainstorm and bounce ideas with your teammates.
NEW
@aaditsh
I think this thread hook could be improved.
@frankdilo
On it š„
Add comments
Get feedback from coworkers before you hit publish.
Read, Write, Publish
Read, WriteRead
Control user access
Decide who can view, edit, or publish your drafts.
A š§µ about tokenomics (the economics and game theory behind #crypto tokens) š
[1/x]
2/
It's easy to pick winners in a bull market.
Really difficult to find winning altcoins in a bear market.
Your best bet is often to stick to $BTC, $ETH and some solid large cap coins.
But if you want to pick altcoins, make sure to understand the tokenomics.
4/
1. Utility
2. Supply (Distribution, unlock schedule, etc)
3. Demand Drivers (growth drivers, holder incentives, adoption)
4. Other token dynamics (staking, burns, lockups, taxes)
Let's try to understand using some examples.
5/
1. Utility of the token:
ā¢ What is the token used for (other than speculation)?
ā¢ Will the utility grow with time / adoption?
ā¢ Is it a compelling enough use case to buy / hold the token?
7/
2. Supply
ā¢ How many tokens exist?
ā¢ How many in circulation?
ā¢ How are the tokens distributed?
ā¢ What is the unlock schedule of remaining supply?
ā¢ How much inflation / deflation annually?
+++
8/
Supply is a very important piece of the tokenomics puzzle.
A high allocation of tokens to internal team make the token vulnerable to a few actors.
An accelerated unlock schedule increases risk of whale dumps.
(Example: VCs may dump tokens as they unlock)
9/
Some tokens like $ETH have both an inflation component (issuance) and a deflation component (burning) that determines total increase in supply of $ETH per day.
watchtheburn.com/
10/
Example: currently, ~13,000 new $ETH are minted & ~3,000 $ETH are burned per day.
i.e - Net $ETH issuance is ~10,000 per day.
11/
Deflationary tokens or tokens that have a burn mechanism that grows with usage (like $LUNA, $ETH) are a big plus.
As an example, $LUNA total supply has gone from 996M to 763M in the last 6 months.
13/
3. Demand Drivers
ā¢ What will cause an increase in token demand (other than speculation)?
ā¢ Do people have an incentive to buy / hold / stake / lock the token?
ā¢ Does the platform have a competitive edge to allow it to grow adoption fast?
14/
Demand Driver Examples:
ā¢ A hyped project launch can be a (temporary) demand driver for launchpad tokens, which may reward users who held for longer.
ā¢ $CRV holders are battling for governance of an imp. piece of DeFi Infrastructure
ā¢ $HND is locked to boost reward APR
15/
While I prefer fundamentals-based demand drivers, demand drivers based on marketing / hype / narratives can't be ignored either.
ā¢ $NEAR / $FTM / $AVAX saw a boost in ecosystem projects, TVL and price from incentive funds luring devs to their ecosystems.
ā¢ $DOGE / $SHIB
16/
Governance can sometimes be a demand driver but usually not.
Does the community have any real incentive to vote?
In the case of $CRV, the incentive is that voters receive bribes.
But in most cases, governance incentives are not much of a demand driver.
17/
4. Token Dynamics (lockups, staking, taxes, burning, etc)
Examples:
ā¢ $SOLID and $CRV are locked for voting power / bribes.
ā¢ FaaS coins charge a tax on buys and / or sells that funds the treasury
ā¢ $LUNA is burned to mint $UST
18/
@Platypusdefi is an interesting case study in tokenomics. Let's take a look:
ā¢ Staked $PTP earns $vePTP every hour.
ā¢ $vePTP is used to boost reward APR.
ā¢ Unstaking ANY amount of $PTP means forfeiting accumulated $vePTP
19/
This means there is a strong incentive for $PTP holders to keep all $PTP staked.
So if the boosting incentive of $vePTP is high, then it would be a good incentive to reduce sell pressure for $PTP.
20/
#crypto is an economic experiment happening in real time.
Ultimately, a big factor in the success (or failure) of a project comes down to the tokenomics, and the game theory.
21/
But it's important to remember that it takes more than tokenomics to make a project successful and for price to go up.
Example: $SOLID had pretty good tokenomics, but when the devs quit abruptly with a poorly communicated departure, it destroyed trust (and then price).
22/
Another example: the game theory behind the $OHM (3,3) model was supposed to mean that a rational actor would stake their $OHM and not sell.
But there's a lot more to the price of a coin than the planned or expected game theory.
twitter.com/shivsakhuja/status/1466714481237524483?s=20
23/
Bear markets have different game theory.
Market participants are more irrational and need stronger, clearer incentives not to panic sell when there's blood in the streets.
If the model relies on participants understanding the game theory, it doesn't work nearly as well.
24/
The behavior of market participants can't be accurately predicted.
But learning about tokenomics can help you stay away from bad projects.
And occasionally, catch the good ones early.