# Why New X (Twitter) Accounts Get Less Reach

> Find out why new X accounts get low reach in 2026, what the algorithm’s new-author boost really does, and how to escape cold start.

Published October 2, 2026 · 20 min read

You set up a new X account, write a post you’d happily publish from your old profile, then watch it crawl to 12 impressions and die. It feels personal. It isn’t.

New X accounts get less reach because they begin with no audience graph, no behavioural history and no proof that their posts satisfy a particular group of readers. But the popular explanation, that X simply buries every new account until it gets old, is wrong. The current ranking code actually contains a **new-author boost** for authors below an impressions threshold.

That boost does not magically solve the real problem: X still has very little evidence about who should see you, whether you’ll prompt a worthwhile reaction, or whether your early behaviour resembles a genuine person rather than another spam account. A boost helps a candidate post compete. It does not create trust, followers or a niche for you.

This is not another “post three times a day and stay consistent” piece. We already covered the practical launch plan in [How to Grow a X (Twitter) Account from 0](https://xpert.so/blog/how-to-grow-a-x-twitter-account-from-0-18858). This piece is narrower: it explains why reach feels broken on a fresh account, what the ranking system is actually doing, and what the first 30 days should look like if you want to escape the cold start without acting like a bot.

- **1** new-author boost in X's ranker. built into the published For You code
- **59,000** impressions in 48 hours. from a 1-follower test account
- **17 days** to reach first 100 followers. inside a documented 42-day account launch

Source: X algorithm repository and creator case studies, 2026

![A lone creator at a desk watching a tiny glowing post float through an enormous crowded social feed, editorial illustration, no text in the image](https://cdn.xpert.so/blog/ai/1d858b39-5abd-43b5-9fd4-4eb382177d40.svg)

## The annoying truth: new accounts are not automatically suppressed

Let’s kill the biggest myth first.

X’s published For You code includes a **new-author boost**. After the system predicts how likely an individual viewer is to take different actions on a post, it applies several adjustments. One is author diversity. Another is an out-of-network discount. A third lifts posts from authors whose impressions sit below a threshold towards a target position. X calls it the new-author boost. ([github.com](https://github.com/xai-org/x-algorithm/blob/main/README.md))

So why can a new account still get almost no reach?

Because being eligible for a boost is not the same thing as being a strong recommendation. X’s Phoenix model predicts the chance that a particular person will reply, repost, share, read, follow, click, watch, mute, block or report. The feed then ranks posts using those predicted actions, not by handing every creator a fixed number of impressions. ([github.com](https://github.com/xai-org/x-algorithm/blob/main/README.md))

A new account has three immediate disadvantages:

1.  It has little or no engagement history for the model to learn from.
2.  It has a weak or non-existent follower network.
3.  It has not yet supplied enough consistent topic and behavioural signals for X to match it with likely readers.

That’s the cold-start problem. It is not an age penalty in the simple sense. It is an evidence problem.

And it cuts both ways. X has to decide who __you__ might enjoy reading when you first join. It also has to decide which strangers might enjoy reading __you__. With no history, both decisions are fuzzy.

> **Important:** A low-view first post is not proof of a shadowban. On a new account, it is usually proof that X has not found an audience with enough confidence to keep testing the post.

## What does the current X algorithm say about new-account reach?

The useful answer is more complicated than most algorithm guides admit.

X’s open-source repository, [xai-org/x-algorithm](https://github.com/xai-org/x-algorithm), shows that the For You feed pulls content from accounts a viewer follows and from accounts they do not. Out-of-network posts are retrieved through Phoenix and SimClusters, then ranked alongside in-network content. ([github.com](https://github.com/xai-org/x-algorithm/blob/main/README.md))

That is good news. A new account can reach people who do not follow it.

But the code also explains why that is difficult.

### Your post must first become a candidate

Your post does not start by being shown to the whole platform. It must enter candidate pools for a specific viewer, survive filters, receive a competitive prediction score and then beat other posts competing for the same tiny amount of timeline space.

That means a polished standalone post from an unknown account often loses before anyone gets the chance to judge whether it is “good”.

The model has richer evidence for an established account:

-   Which people usually stop to read its posts
-   Who replies and whether those replies turn into conversations
-   Whether viewers visit the profile or follow
-   Whether similar posts created satisfaction or negative feedback
-   Which topic clusters associate with the author and their audience

A new account has almost none of this. Its first few posts are closer to tests than broadcasts.

### Out-of-network discovery is deliberately harder

X applies an out-of-network discount to posts from accounts the viewer does not follow. It also discounts replies and reposts in some circumstances, even from accounts the viewer follows. That is sensible from a reader’s point of view. Nobody opens X hoping for an endless parade of strangers shouting at them. ([github.com](https://github.com/xai-org/x-algorithm/blob/main/README.md))

But it creates a harsh reality for fresh accounts: if you have 14 followers, most potential reach must come from people who do not follow you. And those are exactly the readers your post has to work harder to reach.

A generic observation such as “Consistency is key. Keep building” gives the system no compelling reason to put you ahead of a creator whose post already has a history of creating replies, profile visits and follows.

### Replies are not a shortcut to non-follower reach

People often hear that replies are powerful, then turn into a human notification spammer.

Bad move.

The current published pipeline filters out replies and reposts from accounts a viewer does not follow in the out-of-network path. In plain English, your reply can absolutely be seen inside the conversation where you left it, but it is not a broad non-follower distribution vehicle in the same way an original post can be. ([github.com](https://github.com/xai-org/x-algorithm/blob/main/README.md))

Replies are still valuable because they put you in front of people already interested in the topic. They create profile visits. They start conversations. They can earn follows. But a reply that says “Great point!” will not save a new account.

Interactive demo: [What the X algorithm rewards](https://xpert.so/#algorithm)

## The case study: 0 followers, a slow first 17 days, then a visible shift

One of the more useful 2026 launch diaries came from a Japanese creator who opened an X account on 26 April and recorded the first 42 days publicly. It is self-reported, so do not treat it as an industry benchmark. But it is a far more honest account of the awkward early phase than the usual “I got 50,000 followers in a week” nonsense.

The account started at zero followers.

By day 17, it had reached 100 followers. By day 26, 354. By day 30, 500. By day 42, 1,000. The post announcing the 1,000-follower milestone exceeded 4,000 impressions. ([note.com](https://note.com/aifukugyoojisan/n/n9537f66cde3b?hl=en))

The first 100 followers took 40% of the entire 42-day period.

That is the bit most growth threads quietly delete.

| Milestone | Day reached | Followers | What changed |
| --- | --- | --- | --- |
| Account opened | 0 | 0 | New profile, no audience data |
| First 100 followers | 17 | 100 | Switched focus from polishing posts to targeted replies |
| Early momentum | 26 | 354 | Repeated a clear personal-content format |
| Stronger profile proof | 30 | 500 | Continued consistent topical interaction |
| First major milestone | 42 | 1,000 | Prioritised better interactions over reciprocal-follow tactics |

The creator’s original approach was familiar. They spent the first ten days polishing standalone posts, assuming better writing would earn discovery. It did not. Their own summary was blunt: posts from an account with only a few dozen followers reached almost nobody. ([note.com](https://note.com/aifukugyoojisan/n/n9537f66cde3b?hl=en))

On day 11, they changed the input.

They kept publishing roughly two posts a day, but moved more effort into 10 to 20 relevant replies a day. Not mass replies. Replies to people working on similar projects, often naming the person and responding to something concrete. Five days later, the account passed 100 followers. ([note.com](https://note.com/aifukugyoojisan/n/n9537f66cde3b?hl=en))

That is not proof that every account should leave 20 replies a day. It is evidence for a better diagnosis:

**When nobody knows who you are, content quality alone cannot do all the distribution work. You need to enter existing conversations where the right people already are.**

![A small new account represented by a paper boat joining a busy river of conversation between larger boats, editorial illustration, no text in the image](https://cdn.xpert.so/blog/ai/79320c51-9a76-4091-991a-23d922e2bc30.svg)

## What failed, and why it failed

The failed approach was not “writing bad posts”. It was expecting isolated posts to solve a distribution problem.

A new account usually makes five predictable mistakes.

### It treats every post as a lottery ticket

The creator writes one highly polished post, gets 30 impressions, feels embarrassed, then disappears for four days to write another masterpiece.

This is backwards.

Your early posts are useful because they create data. They teach X what you discuss, which people interact with you and whether anyone responds positively when it tests your content. You still need to write well, obviously. But early on, you need enough clean attempts to see patterns.

Do not turn this into volume for volume’s sake. Posting ten weak variations of the same thought is a great way to bore the 11 people who did find you.

Start with one or two original posts a day. Make each one about the same narrow subject area. Then spend the rest of your effort becoming visible in relevant conversations.

### It changes topic every day

On Monday, you post AI prompts. Tuesday is crypto. Wednesday is gym selfies. Thursday is relationship advice. Friday is a link to your SaaS.

You may contain multitudes. The recommender does not know what to do with that on day five.

X’s recommendation systems use viewer interests, engagement history, followed accounts and topic signals to determine what appears in the For You feed. ([help.x.com](https://help.x.com/en/rules-and-policies/recommendations)) If you want the system to learn where you fit, give it a consistent answer for at least 30 posts.

Pick a lane that combines:

-   a specific professional or personal interest
-   a perspective you can credibly sustain
-   an audience you can actually find and talk to on X

For example, “building a bootstrapped analytics tool for freelance designers” is much more usable than “entrepreneurship, tech and life”.

### It posts links before it has earned attention

Fresh accounts often behave like brochure racks. Every post points away from X. Every reply includes a link. Every profile line sells something.

That does not automatically trigger a penalty. But it gives readers no reason to care, and X explicitly treats repeatedly posting links without commentary as spammy behaviour. ([help.x.com](https://help.x.com/en/rules-and-policies/authenticity))

For the first month, use original observations, screenshots, lessons, short stories and useful replies to earn interest. Link when the destination genuinely completes the idea. Not because you are desperate to squeeze traffic from 46 impressions.

### It follows hundreds of people in a panic

Indiscriminately following people is not “networking”. It looks desperate to users and can collide with X’s authenticity rules. X explicitly prohibits aggressive or automated following and unfollowing designed to inflate attention. ([help.x.com](https://help.x.com/en/rules-and-policies/x-rules-and-best-practices))

Follow 5 to 15 accounts a day in your niche during your first week if they are genuinely relevant. Read their posts. Reply where you have something useful to say. Let your following list communicate your interests rather than your anxiety.

### It confuses empty engagement with progress

Follow-for-follow schemes, engagement pods and paid likes make a dashboard look lively while teaching your account the wrong lessons.

X prohibits coordinated engagement exchanges and paid metric inflation across likes, replies, reposts, views and follows. Enforcement can include reach restrictions, exclusion from recommendations and loss of features. ([help.x.com](https://help.x.com/en/rules-and-policies/authenticity))

More importantly, fake engagement is strategically stupid. If your early engagement comes from people who do not care about your topic, their behaviour makes it harder for any recommendation system to understand your actual audience.

## Why your followers may not see you either

This part annoys people because it sounds unfair. But X does not promise that every follower sees every post.

The Following timeline is different from For You, but most attention on X now happens in an algorithmically arranged environment. And even in a following-based context, timing, activity, competing posts and user settings affect what people notice. X also lets users filter notifications from accounts without profile photos, verified contact details or accounts they do not follow. ([help.x.com](https://help.x.com/en/rules-and-policies/x-reach-limited))

A new account with 50 followers may have fewer than 10 people actively online when it posts. Of those, some might not use the For You feed, some might scroll past and some might have a feed full of accounts they engage with more regularly.

That is why “I have 100 followers but only got 40 views” is not evidence that something is broken.

It is a reason to measure the right thing.

### The first metrics that matter

Ignore follower count as your main weekly score for now. You want proof that your account is finding the right people.

| Metric | What it tells you | Healthy early sign |
| --- | --- | --- |
| Profile visits | Your post created curiosity | A noticeable lift after replies or original posts |
| Follows per profile visit | Your profile explains why people should stay | More follows after profile improvements |
| Replies received | You created a real opening for conversation | A few thoughtful responses, not emoji noise |
| Repeat responders | People are beginning to recognise you | The same relevant accounts return |
| Impressions per original post | X is testing content more widely | An upward trend over 10 to 20 posts |
| Blocks, mutes and complaints | Your activity is creating negative feedback | Keep this as close to zero as possible |

**X Post Engagement Rate Calculator** Use it to see how your likes, replies and other actions stack up against impressions on a single post.

- Engagement rate = (Likes+Replies+Reposts, bookmarks, profile visits)/Impressions × 100
- Like rate = Likes/Impressions × 100
- Reply rate = Replies/Impressions × 100

Example inputs: Impressions 5000, Likes 80, Replies 15, Reposts, bookmarks, profile visits 40.

Use the [free engagement rate calculator](https://xpert.so/tools/engagement-rate-calculator) for the maths. But do not obsess over a platform-wide engagement-rate figure. A new account with 150 impressions and two thoughtful replies is in a better place than one with 2,000 low-quality views from a rage-bait post.

## Could your low reach be a visibility restriction?

Sometimes, yes.

But do not start there.

X says it can limit reach where posts violate rules, fail quality checks, are identified as spam, encounter technical problems or are part of platform experiments. It also uses behavioural signals such as blocks, mutes, who you follow and which conversations you join when ranking content. ([help.x.com](https://help.x.com/en/rules-and-policies/x-reach-limited))

The useful change in 2026 is that X has begun rolling out its Under the Hood transparency tool. The published repository says the tool can show aggregate statistics about visibility-impacting labels applied to an account and its posts. ([github.com](https://github.com/xai-org/x-algorithm/blob/main/README.md))

So stop relying on random “shadowban checkers” that run superficial searches and declare your account cursed.

### Check these before you claim suppression

First, make sure your account is public and has a profile image, bio and confirmed email or phone number. Users can filter notifications from accounts without those basic trust signals. ([help.x.com](https://help.x.com/en/rules-and-policies/x-reach-limited))

Second, search for one of your posts while logged out or from another account. Check whether the post appears on your profile and whether a distinctive phrase is searchable. One delayed search result is not conclusive. Repeated absence is more useful evidence.

Third, review your own behaviour. Did you copy-paste replies? Follow 200 people in an hour? Drop the same link in a dozen conversations? Use unrelated trends? These behaviours are specifically named in X’s authenticity and spam rules. ([help.x.com](https://help.x.com/en/rules-and-policies/authenticity))

Fourth, use Under the Hood if it is available to your account. If labels appear, you have something concrete to investigate rather than a vague feeling that the algorithm hates you.

And if you want a quick basic diagnosis, use Xpert’s [shadowban check](https://xpert.so/tools/shadowban-check). Treat it as an indicator, not a verdict. The platform’s own label data is more useful when you can access it.

![A creator examining a transparent dashboard with abstract account signals and small warning markers, editorial illustration, no text in the image](https://cdn.xpert.so/blog/ai/cf412534-e31c-4e06-8a86-021c44d709e3.svg)

## The 30-day new-account reach plan

You do not need a complicated content calendar. You need to create clear, repeated evidence that you are a real person with a useful point of view in one area.

### Days 1 to 3: build a profile that converts curiosity

Your first job is not posting. It is making sure a profile visitor knows why to follow.

Use a clear profile photo. Write a bio that says who you help, what you discuss and why you have standing to discuss it. Pin one post that gives people a reason to care.

Bad bio:

> Founder. Learning. Building in public.

Better bio:

> Building a lightweight finance tool for UK freelancers. Sharing the numbers, mistakes and systems as I go.

Use the [X bio generator](https://xpert.so/tools/bio-generator) if you are stuck, then rewrite the result until it sounds like you. A generic AI bio is worse than a slightly imperfect human one.

Follow 20 to 40 people across these three groups:

-   creators already speaking to your intended audience
-   peers at a similar stage
-   customers, users or practitioners in the field

Do not follow them all in one frantic burst.

### Days 4 to 10: make the account legible

Publish one or two original posts a day. Stay on one topic. Your posts should be easy for a stranger to understand without knowing your backstory.

Good early formats include:

-   one specific lesson from work you did that day
-   a useful opinion on a niche problem
-   a before-and-after screenshot with a proper explanation
-   a small mistake and what it cost you
-   a question that invites people with experience to answer

Leave 8 to 15 meaningful replies a day. The word meaningful does the heavy lifting.

A useful reply does one of four things:

1.  Adds a concrete example.
2.  Pushes back with a reason.
3.  Explains a missing consequence.
4.  Asks a question the original poster can genuinely answer.

Avoid praise-only replies. Avoid replying to every large account in your niche. And do not reply with a pitch.

The account in the 42-day case study improved after switching from spending most of its time polishing posts to meeting people through replies. Its first 100 followers came after 17 days, not overnight. That is the realistic bit. ([note.com](https://note.com/aifukugyoojisan/n/n9537f66cde3b?hl=en))

### Days 11 to 20: repeat what earns profile visits

By now, you should have 10 to 20 original posts and a few dozen thoughtful interactions behind you.

Look for the posts that generated profile visits, follows or genuine responses. Do not only inspect likes. A post with three likes and two new relevant followers beat a post with 30 likes from random accounts.

Take your best-performing idea and create a second version from a different angle.

If this post worked:

> I spent £400 testing an onboarding flow. The fix took 14 minutes and improved activation more than the redesign.

Try this next:

> The most expensive mistake in our onboarding was not the broken button. It was the assumption that users understood our first screen.

Same subject. New entry point.

Use the [content ideas generator](https://xpert.so/tools/twitter-content-ideas) to turn a working topic into follow-up angles. But only use ideas that your real experience can support. The fastest way to make a new account forgettable is to post 30 polished generalities.

### Days 21 to 30: create a recognisable series

At this point, stop behaving like every post needs a new identity.

Pick one recurring format. It might be:

-   “What I learned building this week”
-   “Freelancer finance myth of the day”
-   “One tiny SaaS experiment, with the numbers”
-   “A UX mistake I found in the wild”
-   “Notes from selling to developers”

A series makes it easier for people to recognise you. It also makes it easier for you to keep posting without inventing a fresh personality every morning.

One 2026 test account with a single follower reached 59,000 impressions and 198 followers in 48 hours. The creator says it spent around two hours on the experiment and attributes the lift to warming up through human replies, making connections and telling a story. But there is a giant red flag: the persona and product were fictional. ([robhallam.beehiiv.com](https://robhallam.beehiiv.com/p/a-1-follower-account-did-59000-impressions-in-48-hours))

Take the lesson about participation, not the lesson about pretending to be somebody else.

Fake personal stories may get attention. They also make you untrustworthy, and they are a terrible foundation for a business or personal brand.

> **Warning:** Do not try to “warm up” a new account by copying replies, using engagement pods or inventing a founder story. You might gain a few views, but you will train both people and systems to distrust you.

## What actively hurts reach on a new X account?

Here is the blunt version.

### Automated-looking behaviour

X’s policies prohibit bulk, duplicative and unsolicited posting, aggressive automated activity, duplicate links and irrelevant replies. It can respond with challenges, feature limits, reach restrictions and exclusion from recommendations. ([help.x.com](https://help.x.com/en/rules-and-policies/authenticity))

You do not need a bot to look like one. Copying the same reply format 30 times is enough to make other users ignore you, even before any automated system intervenes.

### Replying only to large creators

A big account gives you a larger potential audience. It also gives you brutal competition.

Mix your reply targets. Reply to established accounts when you have a sharp point. But build real peer relationships with people whose audiences overlap yours. A person with 800 engaged followers who remembers you is more valuable than a drive-by like from a founder with 200,000.

For more on that balance, read [How Replying to Tweets Grows Your Account Faster](https://xpert.so/blog/how-replying-to-tweets-grows-your-account-faster).

### Posting a different offer every day

Fresh accounts often give people no clue what they are meant to remember.

Your account does not need to be narrow forever. But it should be narrow for long enough that someone can finish this sentence:

> “Oh, that’s the person who posts about…”

If they cannot, neither can the recommendation system.

### Chasing high-volume impressions without qualified follows

A meme may get 50,000 impressions. If it brings in people who do not care about your actual work, your next serious post can fall flat.

Reach is not the objective. Relevant recognition is.

### Reposting recycled AI slop

X’s model evaluates predicted engagement and attention, while visibility systems separately assess labels and quality. Low-effort repetition does not give you much chance of creating the profile visits, replies and follows that help an account escape cold start. ([github.com](https://github.com/xai-org/x-algorithm/blob/main/README.md))

Use AI for brainstorming, editing and finding the weak line in a draft. Do not let it flatten your experience into the same “Here are five things nobody tells you” sludge people scroll past all day.

Try the [AI slop detector](https://xpert.so/tools/ai-slop-detector) before you publish if you are not sure whether your draft sounds oddly synthetic.

![A cluttered robot-like account scattering identical posts while a real creator has a focused conversation with a small group, editorial illustration, no text in the image](https://cdn.xpert.so/blog/ai/eaeee5bf-14d0-4c61-92f6-d1842d317813.svg)

## Replicable lessons from the case study

The case study does not prove that every new account will reach 1,000 followers in 42 days. It proves something more useful: the slow start is normal, and changing distribution behaviour can matter more than making each early standalone post prettier.

### 1\. Treat the first 100 followers as a relationship problem

The first 100 are rarely won through passive posting. You need to show up where the right people already gather.

Set a target of 8 to 15 useful replies a day for 30 days. Not a quota of empty comments. Useful replies.

### 2\. Keep your first 30 posts on one clear subject

Topic consistency gives people a reason to follow and gives X clearer matching signals. You can expand later. For now, stop trying to prove you have lots of interests.

### 3\. Publish originals, not just replies

Replies create discovery. Original posts give profile visitors a reason to follow. You need both.

Aim for 30 to 60 original posts in your first month, depending on whether you can maintain quality. One or two a day is enough.

### 4\. Measure follows and profile visits, not ego likes

A new account does not need viral numbers. It needs evidence that the right people are beginning to recognise it.

Track every post for impressions, profile visits, follows and replies. Xpert’s [free tools](https://xpert.so/tools) can help with the repetitive bits, but the judgement is yours.

### 5\. Diagnose restrictions with evidence

Do not call it a shadowban because your last post underperformed. Look for repeated search absence, warning prompts, feature limitations or labels in X’s Under the Hood tool.

Then fix the behaviour that caused the issue. Do not open five replacement accounts or try to game the system. X explicitly treats ban evasion and coordinated multi-account manipulation as violations. ([help.x.com](https://help.x.com/en/rules-and-policies/authenticity))

## FAQ

### Why do new X accounts get 0 views?

A new X account can get very low views because it has no follower base, weak topic signals and no engagement history for X’s recommendation model to learn from. Check that your profile is public and complete, then post consistently in one niche while leaving useful replies in relevant conversations. If posts repeatedly fail to appear in search, investigate possible visibility restrictions rather than assuming every low-view post is normal.

### Does X reduce reach for new accounts on purpose?

Not in the simple “all new accounts are buried” sense. X’s published ranking code includes a new-author boost for authors below an impressions threshold. But new accounts still struggle because the system lacks confidence about who will value their posts, and out-of-network recommendations face a discount. ([github.com](https://github.com/xai-org/x-algorithm/blob/main/README.md))

### How long does it take for a new X account to get reach?

Expect the first two to four weeks to feel slow. One documented 2026 account took 17 days to reach its first 100 followers, then grew faster after changing from polished standalone posts to active, relevant replies. That is an example, not a guarantee. ([note.com](https://note.com/aifukugyoojisan/n/n9537f66cde3b?hl=en))

### Should I buy X Premium for a new account?

Do not buy Premium expecting it to rescue weak positioning or generic content. Build a complete profile, choose a clear niche and develop genuine interactions first. Premium may be worth considering for its product features if you will use them, but it is not a substitute for audience fit.

### How many times should a new X account post per day?

Post one or two original posts a day for the first month. That is enough to test angles without flooding a small early audience with filler. Pair it with 8 to 15 relevant replies a day, and spend time reading the conversations before joining them.

### Do replies help a new X account grow?

Yes, when they are specific and useful. Replies help you meet people in conversations that already have attention, which can generate profile visits and relevant follows. But replies are not a shortcut to broad For You distribution. X’s published filters remove certain out-of-network replies from recommendation paths. ([github.com](https://github.com/xai-org/x-algorithm/blob/main/README.md))

### Is my new X account shadowbanned if my posts get low impressions?

Probably not. Low impressions are common during cold start. Look for stronger evidence: persistent search invisibility, explicit warnings, missing replies, feature restrictions or visibility labels in X’s Under the Hood tool. X says low quality, spam signals, policy issues, technical problems and experiments can all affect post reach. ([help.x.com](https://help.x.com/en/rules-and-policies/x-reach-limited))

### Can I use AI to grow a new X account?

Use AI to brainstorm, edit, research and spot weak hooks. Do not use it to mass-produce bland posts or duplicate replies. A fresh account needs a recognisable human point of view, not more generic filler. If you want help drafting in your own style rather than a default robot voice, see how [Xpert pricing works](https://xpert.so/pricing), including the three-day trial.

**Poll:** What is the hardest part of starting a new X account?

- Getting the first impressions
- Finding people to reply to
- Knowing what to post
- Turning visits into follows

---

Source: https://xpert.so/blog/why-new-x-twitter-accounts-get-less-reach-29405