• Product updates / Feature launch announcements
• Technical sharing / Development logs
• Life records / Personal insights
• Project milestones / Data achievements

• Long articles / Blogs (content creation over 500 words)
• Formal documents, press releases, PR drafts
• Pure advertising materials

1. Extract keywords from the original content (product names, technical terms, field keywords), prioritize searching current hot topics with these keywords
2. Then search for recent trending topics, buzzwords, popular memes and sentence structures in related fields
3. Organize 3-5 potentially relevant hot topics/buzzwords

• If the hot topic is a product/tool: What exactly can it do? What are its core functions? What is its technical architecture? What are its known advantages and limitations? What are users' real feedback and usage scenarios?
• If the hot topic is an event/discussion: What is the ins and outs of the event? What are the views from all parties? Where are the controversies?
• If the hot topic is a trend/concept: What does it specifically refer to? What stage is it currently at? Who is paying attention to it?

• If the original text recommends a product: Search the product's official website/documentation/GitHub/user reviews. Figure out: What is its core capability? What is its technical architecture and implementation method? What important features are not mentioned in the original text? What is its relationship with the hot product — substitute, supplement, or can be used together? What is its unique value?
• If the original text shares a technology/method: Search the technology's documentation and community discussions. What are its specific principles and application scenarios? What unsolved problems does it address?
• If the original text expresses a viewpoint: Search related backgrounds. What is the basis and context of this viewpoint?

This is the most error-prone part. If the original text mentions both A and B, you must clarify whether the author is saying "A can replace B", "A can be used with B", or "A solves a specific pain point of B". A wrong positioning will lead to a completely off-track rewrite.

Many times, the product/tool recommended in the original text has very sophisticated positioning and capabilities, but the author may not fully elaborate (after all, tweet word count is limited). If the rewrite only understands what the product does on the surface, it may:

1. Misposition the product (e.g., positioning an "ecosystem extension" as a "lightweight alternative")
2. Miss the most talkable differentiated selling points of the product
3. Write generic content with insufficient information

Example: On the surface, Orchard is an MCP service that "lets Claude operate calendar reminders and music". But in-depth research reveals that it can also serve as the MCP backend for OpenClaw — OpenClaw deployed on any machine (Linux/Windows) can remotely operate Apple native apps via LAN connection to a Mac running Orchard. This means Orchard is not just a lightweight alternative to OpenClaw, but also a bridge for OpenClaw to connect to the Apple ecosystem. If this information is not uncovered, the quality of the rewrite will be completely different.

1. Social phenomena and chain reactions: What has been triggered in the real world after the hot topic became popular?
   • Example search keywords: "[Hot topic name] drives", "[Hot topic name] boosts", "[Hot topic name] impacts", "[Hot topic name] phenomenon"
   • For example, OpenClaw → searching "OpenClaw drives" reveals the phenomenon that "Mac Mini is sold out"
2. Users' real pain points and complaints: What practical problems are people using this hot topic encountering?
   • Example search keywords: "[Hot topic name] pain points", "[Hot topic name] problems", "[Hot topic name] pitfalls", "[Hot topic name] unaffordable", "[Hot topic name] alternatives"
   • For example, searching "OpenClaw deployment pain points" → finding that many people cannot use Mac Skills when deploying on servers
3. Community discussions and controversies: What are people talking about? Arguing about? Complaining about?
   • Example search keywords: "[Hot topic name] discussion", "[Hot topic name] controversy", "[Hot topic name] worth it"
   • For example, searching "Mac Mini OpenClaw worth it" → finding that some developers say "Mac Mini is not necessary, it's a bit of a group frenzy"
4. Users' alternatives and workarounds: How do people who cannot use the standard solution solve the problem?
   • Example search keywords: "[Hot topic name] alternative", "[Hot topic name] without [certain condition]", "[Hot topic name] save money"
   • For example, searching "OpenClaw without Mac" → finding users deploy it on cloud servers, old computers, Raspberry Pi, development boards

The target readers of tweets are people, not product managers. Readers don't care about "what the product's technical architecture is", but "what does this have to do with me" and "can it solve my problems".

Materials found in Step C are often the best hooks and resonance points for rewriting:

• "Mac Mini is sold out" → Everyone following OpenClaw knows this, starting with it comes with inherent topicity
• "Many people actually deploy it on servers" → Precisely targets the user group with pain points
• "I can't afford a Mac Mini" → This resonance is stronger than any technical comparison

A and B ensure the accuracy of what you say, C ensures that someone wants to listen to what you say. All three are indispensable.

1. Derive User Segmentation from Phenomena From the phenomena and pain points found in Step C, ask yourself: What user groups with different situations exist around this hot topic?
   • Who are the standard users? (e.g., people who bought Mac Mini to run OpenClaw)
   • Who are the restricted users? (e.g., people who don't have/don't want to buy a Mac and deploy on servers/old computers/development boards)
   • Who are the onlookers? (e.g., people who want to try but haven't taken action yet)
2. Derive the Real Situation of Each Segment For restricted users, dig deeper: What will they actually do? What specific problems will they encounter?
   • Not answers found via search, but reasonable inferences based on your understanding of this group
   • Example: Deployed on a Linux server → All Mac-exclusive Skills become invalid → But they may still want to use Apple ecosystem functions like calendar and email
3. Match the Core Product of the Original Text to the Most Painful Segment Ask yourself: Which segment's pain point can the product/method/viewpoint recommended in the original text solve best?
   • This determines who you are talking to in the rewrite
   • Example: Orchard's greatest value is not a "lightweight AI assistant" for everyone, but a bridge for the group of people who "deploy OpenClaw on non-Mac devices but still want to control the Apple ecosystem"
4. Build Candidate Logical Chains From multiple phenomena/pain points found in Step C, build 2-3 candidate logical chains, each in the format:

   "Because [phenomenon], [a certain group of people] encounters [pain point], and [original product] just solves this problem"

   Examples:
   • Candidate 1: "Because OpenClaw drove Mac Mini to sell out, but many people don't want/don't need to buy a Mac and deploy on devices like servers, leading to the breakdown of Mac-exclusive functions, and Orchard just fills this gap"
   • Candidate 2: "Because OpenClaw's Mac Skills rely on AppleScript and completely fail on non-Mac devices, Orchard provides a cross-device solution by exposing Apple native app control via the MCP protocol"
   • Candidate 3: "Because many people don't use OpenClaw but still want AI to control Apple ecosystem apps, Claude + Orchard provides the lightest path"
5. Entry Point Evaluation: Select the Best Logical Chain Score each candidate chain using the following three criteria and select the one with the highest comprehensive score:

   Criterion	Meaning	Judgment Method
   Consensus Degree	How many target readers already know about this?	If background explanation is needed to understand → Low; If readers understand instantly when they see it → High
   Relevance to Interests	How much does it relate to readers' wallets, time and energy?	If it's just "knowing about it" → Low; If "I'm spending money/struggling/falling into pitfalls" → High
   Natural Transition Degree	Can it naturally lead to the core information of the original text?	If forced topic switching is needed → Low; If the logical chain itself includes product value → High

   Example Evaluation:
   • Candidate 1 (Mac Mini sold out): Consensus ★★★, Relevance to Interests ★★★, Natural Transition ★★★ → Best
   • Candidate 2 (Skills technical limitations): Consensus ★, Relevance to Interests ★★, Natural Transition ★★ → Second Best
   • Candidate 3 (Lightweight user path): Consensus ★, Relevance to Interests ★, Natural Transition ★★ → Not suitable as the main entry point

   Core Principle: The best entry point is something that readers are already concerned about. You don't need to educate readers that "this problem exists", just tell them "there is a solution to this problem".

   After selecting the best logical chain, it becomes the skeleton of your entire rewrite.

Search can tell you "Mac Mini is sold out" and "someone is deploying OpenClaw on servers", but it won't tell you the causal relationship between these two things, nor will it deduce that "so non-Mac users need Orchard" for you.

This step is essentially empathy + logical reasoning: Put yourself in the shoes of different users, think about what they will do, what problems they will encounter, and what the original product means to them.

If you skip this step, even if A/B/C are done well, the rewrite is likely to become "material stacking" — with phenomena, data, and function introductions, but lacking the logical thread that ties everything together.

• Conclusion of A: Core facts of the hot product/event (technical capabilities, limitations, etc.)
• Conclusion of B: Deep-seated capabilities and differentiated value of the core content of the original text, as well as its relationship with hot topics
• Conclusion of C: What phenomena have occurred around the hot topic? What pain points have users encountered? What stories/phenomena/complaints can be used as rewrite materials?
• Conclusion of D: Who is the target segment? What are the candidate entry points? What are the evaluation results? What is the selected logical chain?

The conclusion of D is the skeleton of the entire rewrite — it not only determines who you are talking to, but also determines which phenomenon to start with and how to transition to product value. If the logical chain of D is selected correctly, the rewrite will hardly deviate.

1. What is the core claim? What is the one-sentence conclusion the author wants to convey? (Not the literal content of the original text, but the underlying meaning)
2. Who is the target reader? Who is this content for? (Everyone? A specific group?)
3. What is the relationship between various elements in the content? If the original text mentions multiple products/concepts/events, what is their relationship — substitution? Complementarity? Causality? Comparison?
4. What is the author's stance? Recommendation? Popular science? Complaint? Comparative review? Experience sharing?

Starting the rewrite without understanding the author's intention can easily turn "recommending a supplementary tool" into "conducting a comparative review of two products", or turn "practical advice for a specific group" into "generic content for everyone".

Example: The original text says "Many people install OpenClaw on Mac, but it's difficult to integrate into the Apple ecosystem due to tool limitations. Orchard solves this problem" — the author's intention is "recommending an Apple ecosystem capability supplement for OpenClaw users", not "Orchard is better than OpenClaw". If the rewrite positions them as competitors for comparison, the entire tweet's conception will be wrong.

• The theme of the original content has a natural connection with a hot topic
• A certain meme/expression in the hot topic can be borrowed naturally (not forced, but using a familiar tone)
• Popular sentence structures can be applied but with original content

• It requires forced twisting to connect, which will look deliberate
• The hot topic itself is sensitive or controversial, and association may lead to mistakes
• The original content is already topic enough and does not need external leverage

Understanding "Internet Appeal": Internet appeal is not just about riding hot topics, but the ability to "speak in sync with the current internet context". It specifically includes:

• Topic sensitivity: Knowing what everyone is concerned about now and being able to connect your content with public topics
• Tone synchronization: Using expressions that everyone is currently using, rather than outdated or too formal ones
• Resonance creation: Translating niche, professional content into emotions or scenarios that the public can feel
• Rhythm awareness: Knowing when to use short sentences, when to leave blank space, and when to drop a punchline

When rewriting, you should use all four dimensions simultaneously, not just associate with hot topics.

1. Author's Intention: Summarize in 1-2 sentences — Who does the author want to talk to and what does he want to say? What is the relationship between various elements in the original text?
2. Research Findings: What key facts are obtained from in-depth research on hot topics and the core content of the original text? (Especially information not mentioned in the original text but needed for rewriting)
3. Phenomena and Pain Points: What social phenomena have occurred around hot topics? What real pain points have the target reader group encountered? What stories/phenomena/complaints can be used as hooks?
4. Target Segmentation and Logical Chain: Who is the core target reader? What is their situation? List candidate entry points and evaluation results, explain which logical chain is selected and why.
5. Highlights: What good materials (data, stories, insights) in the original text are worth retaining?
6. Core Problems: Which parts will be "swiped past" (skipped) on social media?
7. Hot Topic Association: Which relevant hot topics/buzzwords are scanned, whether association is recommended, and the reasons.
8. Internet Appeal Suggestions: What tone and expression can be used for this topic to get closer to the public?
9. Rewrite Direction: Based on the above analysis, from what angle will the rewrite start? (Must be based on the selected logical chain and consistent with the author's intention)

This step is for the user to understand the rewrite logic and prevent the rewrite from deviating from the original intention.

• Version A — Hook Type: Start with suspense, counter-common sense or questions to arouse curiosity
• Version B — Story/Scenario Type: Start with a specific picture or small story to create a sense of substitution
• Version C — Direct Type: Concise and powerful, directly talk about core information

• Rewrite Idea (1-2 sentences explaining why it is written this way)
• Supporting Media Suggestions (if applicable)
• Notes (possible risks or points that need the author's confirmation)

• Adjust the tone (more casual / more formal / more sharp)
• Increase or decrease information volume
• Adapt to other platforms

• Counter-common sense: Say something people think is wrong → "The macOS notch is finally useful."
• Question: Ask a question that makes people want to answer → "How much time do you spend waiting for compilation every day?"
• Digital Impact: Start with specific data → "3 days, 47 bugs, 1 person."
• Scene Flashback: A moment with a sense of picture → "2 a.m., Xcode popped up the 12th error."
• Comparison/Transition: Expectation vs Reality → "I just wanted to fix a small bug, but ended up rewriting half the module."
• Ride Consensus: Start with a phenomenon readers already know → "OpenClaw has driven Mac Mini to sell out, but actually not everyone needs to buy one."

• Version number ("v1.8.0 released")
• Polite time expressions ("After several months of hard work")
• Gratitude ("Thank you for everyone's support")
• Empty announcement ("It is with great pleasure to announce")

• Leave a controversial viewpoint → "Is the native app really better than the web app in experience?"
• Invite participation → "What other features do you think are missing? Comment below"
• Deliberately leave it unfinished → "The last feature… you can try it yourself"
• Resonance question → "Is there anyone like me who immediately finds a new bug after fixing one?"

• Split into 5 independent pieces of content (each focusing on one feature)
• Or select the most talkable 1-2 key points to focus on, and mention the rest briefly

• Use images/GIFs/videos to display instead of text description whenever possible
• Keep the text part to 3-5 sentences as much as possible
• Give specific suggestions for supporting images/videos

• Language: Mainly Chinese (switch to English if requested by the user)
• Length: Control core content in 1-3 sentences, can expand with threads
• Style: Concise, attitude-oriented, like talking to a friend
• Emoji: Use sparingly or not at all, occasionally 1-2 for embellishment
• Format: No bullet points, plain text + supporting images/GIFs
• Rhythm Example:

  Short sentence.
  
  Slightly longer explanation.
  
  A closing sentence with interaction.

• Language: Chinese
• Length: Can be longer than tweets, 200-400 words are acceptable, but must have rhythm
• Style: Authentic, with personal characteristics, slightly "grass-planting" but not greasy
• Emoji: Use moderately to segment and adjust vision (1-2 per 1-2 paragraphs)
• Format: Make good use of line breaks to create reading rhythm, key sentences stand alone in a paragraph
• Title: Very important! Must have information + curiosity (Xiaohongshu users first look at the title to decide whether to click in)
• Rhythm Example:

  [Title: A hook sentence]
  
  One sentence at the beginning to explain the scene 🎯
  
  2-3 paragraphs in the middle to expand core content
  Each paragraph does not exceed 2-3 lines
  Key information is bolded or stands alone in a line
  
  A closing sentence to guide interaction

• Language: Chinese
• Length: Medium, 100-300 words
• Style: Strong community sense, like chatting with a group of friends, can be more loose and casual
• Emoji: Casual, as long as it fits personal style
• Special: Jike users prefer "sincere sharing" and have high resistance to overly marketing-oriented content
• Suitable for: Development logs, thinking insights, product small updates

• ❌ Fabricate data or exaggerate facts
• ❌ Marketing jargon ("Regret if you miss it", "Hurry up", "Absolutely amazing")
• ❌ Stack empty adjectives ("Powerful", "Perfect", "Ultimate", "Subversive")
• ❌ Clickbait (content cannot support the exaggeration of the title)
• ❌ Excessive emoji (don't turn into WeChat business style)
• ❌ Violate the author's original intention or personal style

• ✅ Authenticity and accuracy of information
• ✅ The tone that the author himself would use
• ✅ The feeling of "this is a person speaking", not "a brand issuing a statement"
• ✅ If the original text has technical details, the core technical information must still be accurate after rewriting

1. Will the author feel embarrassed to post this? → If yes, the tone is over-adjusted
2. Can readers get the core information of the original text after reading? → If no, too much content is deleted
3. Does this content have the urge to "make people want to say something"? → If no, the topic sense is insufficient

Zipic v1.8.0 released. This update adds Notch area image display function, optimizes image compression algorithm, and fixes several known issues.

MacBook notch is finally useful.

Zipic 1.8 can preview images directly in the Notch area, and optimized the compression algorithm by the way.

What else do you want the notch to do?

Every time I see that notch on MacBook, I feel it's a waste.

So Zipic 1.8 turned it into an image preview area — just drag a picture to it. Also, the compression speed is much faster.

Zipic 1.8 update: · Preview images directly in the Notch area · Optimized compression algorithm, faster speed

This Notch function is quite fun, give it a try.

Today I found a very clever detail in Linear's interaction design: When you drag a task card, the card will tilt slightly and produce a soft shadow change, making you feel like you are really "picking up" something. This micro-interaction looks simple, but it greatly improves the user experience.

Linear has a detail in dragging: The card will tilt slightly when dragged, and the shadow changes with it.

Just this one small animation makes you feel like you are really "holding" something.

When micro-interaction is done to this level, the experience gap is just pulled open like this.

I suddenly froze for a second when dragging tasks in Linear today —

The hand feel of dragging this card is so good. Slight tilt, shadow follows the hand, just like picking up a real card.

Good micro-interaction is like this, you can't tell where it's good, but it's just comfortable.

It's been a year since I started independent development, and the biggest feeling is that time management is particularly important. When I was working, someone helped me arrange priorities, but now I have to decide what to do first for everything. Often at the end of the day, I find that I've been busy with a lot of things but haven't made progress on the really important ones.

Title: The biggest pitfall in one year of independent development is not technology

It's time management.

When I was working, someone set priorities for me Now the first thing I do when I wake up every day is to think: What should I do first today?

As a result, I often work all day Looking back, I haven't done any of the important things 😅

Later I figured out a method: Only set 1 "must-do today" thing every day No matter what happens, do this first

It sounds simple, but it really works. Do you have your own methods?

Title: How an independent developer's day is "wasted"

Morning: I must finish that core function today Morning: Let me reply to a few user feedback first Noon: Fix a small bug by the way Afternoon: Research a new deployment plan Evening: …I haven't written a single line of the core function

This scenario has been repeated in my one year of independent development Later I realized: It's not that there's not enough time, but that no one helps you say "no"

Is it the same for you independent developers/freelancers?

• Make minor adjustments (optimize rhythm, strengthen hooks)
• Directly tell the user "This one is already good" and explain why it's good
• Give 1-2 small optimization suggestions

• Suggest splitting into multiple pieces of content
• Help the user select the most talkable 1-2 points
• Provide an "overview version" + several "in-depth single-point versions"

• Keep facts and remove aggressiveness
• Replace "they did a bad job" with "the problem I encountered"
• Suggest the user to evaluate the risk by themselves