[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-vibe-coding-turns-app-ideas-into-crowded-markets-zh":3,"article-related-vibe-coding-turns-app-ideas-into-crowded-markets-zh":35,"series-industry-182e9f89-0ee7-4d06-98cd-a58991c2ac97":87},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":18,"translated_content":10,"views":19,"is_premium":20,"created_at":21,"updated_at":21,"cover_image":11,"published_at":22,"rewrite_status":23,"rewrite_error":10,"rewritten_from_id":24,"slug":25,"category":26,"related_article_id":27,"status":28,"google_indexed_at":10,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":29,"topic_cluster_id":33,"embedding":34,"is_canonical_seed":20},"182e9f89-0ee7-4d06-98cd-a58991c2ac97","Vibe coding 讓上線變簡單、變現變難","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fvibe-coding\">Vibe coding\u003C\u002Fa> 讓 app 更快做出來，但也讓你更難賣出去。\u003C\u002Fp>\u003Cp>我這陣子一直在看 vibe coding 這波浪潮，老實說，越看越覺得哪裡不對勁。大家講得很順：買台筆電、訂個模型、把想法打進去，app 就出來了。聽起來很爽，像是終於不用跟工程師磨半天。可問題是，真正難的從來不是「能不能把 code 寫出來」。難的是後面那一串：產品會不會壞、別人看不看得懂、值不值得付錢、上線後有沒有人鳥你。\u003C\u002Fp>\u003Cp>所以我看到現在這種熱度，第一個感覺不是興奮，是有點偏掉了。很多人把「送出第一版」當終點，實際上那只是最醜的起跑線。我以前也看過這種戲碼，從 no-code、模板商店，到「週末做出一個產品」的神話，\u003Ca href=\"\u002Fnews\u002Fanthropic-buys-stainless-sdk-tool-rivals-zh\">工具\u003C\u002Fa>越來越強，門檻越來越低，大家就以為市場也跟著變大了。沒有。很多時候剛好相反，市場只會更吵，複製更快，最後活下來的是那些真的知道自己在解\u003Ca href=\"\u002Fnews\u002Fwhy-claude-release-timeline-proves-platform-war-zh\">什麼\u003C\u002Fa>問題的人。\u003C\u002Fp>\u003Cp>我不是反 vibe coding，我是反幻想。如果你是 founder，這波東西很有用；如果你以為它可以直接取代產品思考、分發、維運，那你只是把學費延後繳，而且通常還會繳得更貴。\u003C\u002Fp>\u003Cp>這篇我拆的是 Business Insider 的 Emily Stewart 寫的文章，\u003Ca href=\"https:\u002F\u002Fwww.businessinsider.com\u002Fvibe-coding-build-apps-ai-market-flooded-killer-app-guy-2026-5\">〈Vibe Coding Made It Easy to Build Apps — Now the Market Is Flooded〉\u003C\u002Fa>。她引用了 Appfigures 的數據，也訪談了 Rebecca Kaden、Charity Majors、Kate Minogue、Amjad Masad、Kylan Gibbs 這些人，核心意思很直白：瓶頸真的移位了。建置變便宜，脫穎而出沒有變便宜。\u003C\u002Fp>\u003Ch2>以前卡的是寫 code，現在卡的是你到底懂不懂產品\u003C\u002Fh2>\u003Cblockquote>“For the first time in 20 years, the wall between having an idea and actually building it has come down.”\u003C\u002Fblockquote>\u003Cp>這句是 Eli Cohen 說的，我完全懂他在講什麼。幾年前，一個 app idea 很容易死在「我想得到」和「我付得起」之間。現在這條縫小很多了。像 \u003Ca href=\"https:\u002F\u002Fclaude.ai\u002F\">Claude\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fopenai.com\u002F\">OpenAI\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Freplit.com\u002F\">Replit\u003C\u002Fa> 這些工具，真的把 idea 到 prototype 的距離壓到很短，短到有點不合理。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779183294557-x8hz.png\" alt=\"Vibe coding 讓上線變簡單、變現變難\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>白話翻譯就是：寫 code 不再是很多小軟體產品的主要門檻了。這件事我自己也看得很清楚，很多非工程背景的 founder，從「我需要找人做」變成「我週末就先做一版 skeleton」；這不是嘴砲，是實際發生的事。\u003C\u002Fp>\u003Cp>但坑也在這裡。當 code 變便宜，市場不會更獎勵 code，市場只會更獎勵判斷力。真正贏的人，是知道要做什麼、不要做什麼、哪裡該砍掉的人。vibe coding 很會幫你做第一稿，但它不會自動長出 taste、strategy、product sense。\u003C\u002Fp>\u003Cp>我之前就踩過這種坑：一開始很愛把 AI 當補師，什麼都叫它先起草。結果東西是有了，問題也一起長出來。功能越堆越多，方向越來越散，最後不是產品，是一坨看起來很像產品的東西。\u003C\u002Fp>\u003Cp>實操寫法很簡單：先用 AI 迅速做出可測試的 prototype，但在下第一個 prompt 之前，你要先定義你到底在驗證什麼。是需求、流程契合、定價，還是留存？如果你答不出來，你不是在做產品，你只是把 software-shaped noise 生出來而已。\u003C\u002Fp>\u003Cul>\u003Cli>先做能驗證一個使用者行為的最小版本。\u003C\u002Fli>\u003Cli>上線前先寫下唯一要看的指標。\u003C\u002Fli>\u003Cli>第一版要預設可丟棄，不要戀愛。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>App store 變成公共實驗室，不是什麼溫柔市場\u003C\u002Fh2>\u003Cp>Stewart 在文裡引用 Appfigures 的數據：2026 年第一季有 \u003Ca href=\"https:\u002F\u002Fappfigures.com\u002F\">414,000\u003C\u002Fa> 個新的 iOS 和 Android app 上架，比 2025 同期多 115%。這不是小幅成長，這是直接灌進去。文章還說，這些裡面只有 118 個達到所謂的 high-traction，也就是美國下載量超過 50,000。命中率 0.02%。\u003C\u002Fp>\u003Cp>這句話的白話版是：app store 越來越不像市場，越來越像一個公開實驗室。大家上線的速度比以前快很多，但大多數上線的東西根本不是 business，只是 experiment。是 draft，是證明你做得出來，不是證明有人會買。\u003C\u002Fp>\u003Cp>我看過太多 founder 把「我們上線了」誤認成「我們找到市場了」。以前這種錯誤就很貴，現在更貴，因為別人也都能上線。你如果真的解到痛點很好，但現在你面對的是一百個也能做出看起來不錯的 app 的人。上線門檻下降，相關性門檻上升。\u003C\u002Fp>\u003Cp>我自己會怎麼做？我不再拿 app 數量當 KPI，我改看 user pull。你如果連很小一群人都拉不出 repeat usage、referral、paid conversion，那你很快做出來這件事根本不重要。你需要的是 signal，不是 artifacts。\u003C\u002Fp>\u003Cp>實操寫法：別先問「我做得快不快」，先問「有人會不會回來」。如果 7 天和 30 天留存都沒訊號，先別加功能。先去訪談前 10 個使用者，看他們到底是在忍受你，還是真的需要你。\u003C\u002Fp>\u003Cul>\u003Cli>追 7 日與 30 日留存，不要只看 installs。\u003C\u002Fli>\u003Cli>先訪談 10 個早期使用者，再決定要不要加功能。\u003C\u002Fli>\u003Cli>快速砍掉沒有 repeat use 的點子。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>真正的難點搬到 distribution，這才是最常讓人破防的地方\u003C\u002Fh2>\u003Cp>Kate Minogue 說 distribution 還是最難的問題，我同意。進 App Store 或 \u003Ca href=\"\u002Ftag\u002Fgoogle\">Google\u003C\u002Fa> Play，不等於有人會來看你。這件事以前就是真的，現在只是更殘酷，因為同一塊注意力被更多 app 搶。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779183283075-b2b2.png\" alt=\"Vibe coding 讓上線變簡單、變現變難\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>我最想抓出來的是這句：\u003Cblockquote>“When I talk to companies that are building an app, I try to prepare them for having to spend hundreds of thousands of dollars to get scaled distribution of their apps.”\u003C\u002Fblockquote>很多人幻想 app idea 的時候，只想產品，不想帳單。這句就是提醒你，分發不是送分題。\u003C\u002Fp>\u003Cp>白話就是：marketing 不再是上線後才補的作業，它是產品計畫的一部分。沒人知道你的 app，介面再漂亮也沒用；沒人懂你為什麼存在，AI 生成 code 再快也沒用。\u003C\u002Fp>\u003Cp>我看過不少團隊把幾個月拿去磨功能，卻對 acquisition channel 一片空白。這整個順序是反的。你如果不知道怎麼接觸使用者，你就不是在做 business，你是在養一個有 deployment pipeline 的興趣。\u003C\u002Fp>\u003Cp>實操寫法：先設計 distribution，再設計功能。挑一條你真的有機會掌握的路：search、creator partnership、paid ads、community、outbound、ASO，或 B2B sales。然後讓產品長成那條路的樣子，而不是反過來。\u003C\u002Fp>\u003Cp>這裡可以直接看幾個權威資源：\u003Ca href=\"https:\u002F\u002Fsupport.google.com\u002Fgoogleplay\u002Fandroid-developer\u002Fanswer\u002F9859673\">Google Play listing 指引\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fdeveloper.apple.com\u002Fapp-store\u002F\">Apple App Store 資源\u003C\u002Fa>，還有如果你做的是 commerce 而不是純 consumer app，可以看 \u003Ca href=\"https:\u002F\u002Fwww.shopify.com\u002F\">Shopify\u003C\u002Fa>。這些都不會替你解決分發，但至少會提醒你，discoverability 是一個系統，不是一句願望。\u003C\u002Fp>\u003Ch2>“Underpants gnome logic” 這個吐槽，真的很準\u003C\u002Fh2>\u003Cp>Charity Majors，\u003Ca href=\"https:\u002F\u002Fwww.honeycomb.io\u002F\">Honeycomb\u003C\u002Fa> 的 CTO 和共同創辦人，講 vibe coding 環境帶來一種 “underpants gnome logic”。這個笑話很老，但套在現在超準：第一步是收集內褲，第三步是賺錢，中間那步是問號。放到 app 世界就是：第一步是把東西做出來，第三步是變現，中間那段現實會拿扳手敲你。\u003C\u002Fp>\u003Cp>翻譯一下就是：code generation 只是 product creation 很小的一塊。就算 AI 幫你把第一版做出來，你還是得面對 architecture、maintenance、bug、security、analytics、onboarding，還有那些 demo 結束後才會浮出來的麻煩事。\u003C\u002Fp>\u003Cp>我以前也常跟人解釋，software 不是一張有按鈕的截圖。只要使用者開始依賴你，你就背上 support burden；只要有 payment，你就背上 trust 和 compliance；只要有 scale，你就會開始遇到 prompt 解不掉的 failure。\u003C\u002Fp>\u003Cp>所以我對那種「vibe coding 讓工程消失」的說法很保留。它沒有消失工程，它通常只是把工程延後到上線之後。那時候更貴，也更丟臉。\u003C\u002Fp>\u003Cp>實操寫法：先把維運成本算進去，再談 growth。至少要有 logging、error handling、backup，還有一個能看懂 app 在幹嘛的方法。你如果 debug 不起來，那你根本不算擁有它。\u003C\u002Fp>\u003Cul>\u003Cli>第一天就上基本 observability。\u003C\u002Fli>\u003Cli>列出「最先壞的是什麼」清單。\u003C\u002Fli>\u003Cli>安全敏感流程一定保留人工確認。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>護城河變薄了，所以 product taste 反而更值錢\u003C\u002Fh2>\u003Cp>Stewart 那篇最尖的一點是：市場一旦飽和，就更難冒出來。這句話聽起來很廢話，但很多 founder 還是會把「競品很多」當需求存在的證據。某些時候是，某些時候只是市場很擠、使用者很亂。\u003C\u002Fp>\u003Cp>Majors 提到 Slack 難的不是寫 code，而是那個讓它直覺又可擴充的設計。這才是重點。code 是最容易被抄的部分，產品判斷才是最難複製的地方。\u003C\u002Fp>\u003Cp>白話講，taste 變成商業資產了。不是那種很虛的設計師口味，而是你能不能判斷哪些 friction 有必要、哪些 confusion 會致命、哪些小細節會讓使用者信任你，然後願意回來。AI 可以幫你生選項，但它不會告訴你哪個選項最像「本來就該長這樣」。\u003C\u002Fp>\u003Cp>我在 internal tool 上也看過一樣的事。兩個團隊都能更快做出 workflow，但最後勝出的通常是那個\u003Ca href=\"\u002Fnews\u002Fpeft-bench-fine-tuning-methods-benchmark-zh\">比較\u003C\u002Fa>不煩、比較不卡、比較不需要人教的版本。這不是魔法，這是很多小決定累積出來的結果，而且通常是懂使用者的人做出來的。\u003C\u002Fp>\u003Cp>實操寫法：不要複製 feature，去複製 user outcome。先問使用者真正想完成什麼，再把步驟砍到最少。如果你的產品需要一大段教學才能說明價值，那很可能你還沒找到對的形狀。\u003C\u002Fp>\u003Cp>這裡我會參考 \u003Ca href=\"https:\u002F\u002Fwww.nngroup.com\u002F\">Nielsen Norman Group\u003C\u002Fa> 的 usability 思路，還有 \u003Ca href=\"https:\u002F\u002Fwww.intercom.com\u002F\">Intercom\u003C\u002Fa> 對 onboarding 和 support 的討論。它們不會救爛點子，但會逼你老實一點。\u003C\u002Fp>\u003Ch2>AI 最適合當工廠，不適合當你的幻想機器\u003C\u002Fh2>\u003Cp>Amjad Masad，Replit CEO，提了一個我很認同的角度：不是每個 app 都要變成 venture-scale。有些工具只要能讓創辦人賺錢，或至少把日常開銷撐起來，就已經很夠了。這比那種每個 app 都偷偷幻想要變成下一個大平台的戲碼健康多了。\u003C\u002Fp>\u003Cp>白話就是：AI 降低的是嘗試成本，不是成功成本。這個差別很重要。如果你的目標是做一個小眾但有用的工具，vibe coding 很棒；如果你的目標是做一間耐用的公司，你還是得回答一件事：為什麼使用者在新鮮感退掉之後還要繼續付錢？\u003C\u002Fp>\u003Cp>我其實喜歡這種變化，因為它把很多虛榮心剝掉了。不是每個 founder 都要追一個超大結局。有人只需要穩定 side business，有人只需要 niche product，有人只是想知道這個 idea 值不值得再花時間。AI 讓這些路都更容易走。\u003C\u002Fp>\u003Cp>但更容易走，也代表更多人會來試。這就是交換。更多 builder、更多 noise、更多看起來普通的產品，也更多好產品冒出來的機會。你如果真的認真，不是去抱怨 noise，而是去做更清楚的 signal。\u003C\u002Fp>\u003Cp>實操寫法：先決定你是在做 venture bet、cash-flow product，還是 internal tool。這三種 business 的標準完全不一樣。你如果混在一起做，最後只會拿錯 KPI，然後一路浪費時間。\u003C\u002Fp>\u003Ch2>可抄的模板\u003C\u002Fh2>\u003Cpre>\u003Ccode># Vibe-Coded App Launch Template（可直接改成你自己的版本）\n\n## 1. 我到底在做什麼\n- 產品名稱：\n- 目標使用者：\n- 一句話承諾：\n- 使用者痛點：\n- 這不是要解決的問題：\n\n## 2. 我先驗證哪件事\n- 假設：\n- 成功指標：\n- 觀察期限：\n- 失敗條件：\n- 需要多少人才能判斷：\n\n## 3. MVP 範圍\n- 必做功能：\n- 可延後功能：\n- 明確不做：\n- 第一版只支援的流程：\n\n## 4. 建置方式\n- 使用的 AI 工具：\n- 人工審查點：\n- 資料結構：\n- 登入 \u002F 付款 \u002F 分析：\n- 錯誤處理 \u002F logging：\n- 備份與還原：\n\n## 5. 分發方式\n- 主力渠道：\n- 備用渠道：\n- 前 20 位使用者怎麼來：\n- 預算上限：\n- 上線日期：\n- 轉換漏斗：\n\n## 6. 留存設計\n- 啟動事件：\n- 一週內回訪理由：\n- 讓人想再用一次的觸發點：\n- 支援流程：\n\n## 7. 維運計畫\n- 誰修 bug：\n- 怎麼回報問題：\n- 監控哪些指標：\n- 安全檢查：\n- 每月 review 日期：\n\n## 8. 定價方式\n- 免費方案：\n- 付費方案：\n- 價格點：\n- 升級觸發條件：\n- 取消後怎麼挽回：\n\n## 9. 決策紀錄\n- 哪些有效：\n- 哪些沒用：\n- 哪些該砍：\n- 哪些該加碼：\n- 下一版只改一件事：\n\n## 10. 上線前檢查\n- App listing 完成\n- Landing page 上線\n- Analytics 裝好\n- Support email 可用\n- Privacy policy 已公開\n- 5 位 beta user 已進來\n- 第一次 feedback review 已排程\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>這份我會直接丟給任何一個準備用 prompts 跟樂觀情緒衝出去的 founder。它逼你把問題從「能不能做出來」改成「這東西能不能真的被用、被付錢、被留下來」。\u003C\u002Fp>\u003Cp>這就是我看完這波 vibe coding 之後最確定的一件事：它沒有把軟體的難題拿掉，它只是讓難題更快浮出來。你用得好，就會更快上線、更快學到東西；你用得爛，就只會多出一堆看起來完成、實際上只是猜測的 app。\u003C\u002Fp>\u003Cp>來源致謝：原始材料是 Emily Stewart 的 Business Insider 文章，\u003Ca href=\"https:\u002F\u002Fwww.businessinsider.com\u002Fvibe-coding-build-apps-ai-market-flooded-killer-app-guy-2026-5\">https:\u002F\u002Fwww.businessinsider.com\u002Fvibe-coding-build-apps-ai-market-flooded-killer-app-guy-2026-5\u003C\u002Fa>。文中的數據與引述來自原文；我在這裡做的是拆解、翻譯成白話，外加補上可直接拿去用的 launch 模板。\u003C\u002Fp>","我拆解 vibe coding 為何讓應用程式更容易做出來，卻也讓市場更擁擠，最後附可直接套用的 launch 模板。","www.businessinsider.com","https:\u002F\u002Fwww.businessinsider.com\u002Fvibe-coding-build-apps-ai-market-flooded-killer-app-guy-2026-5",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779183294557-x8hz.png",[13,14,15,16,17],"vibe coding","distribution","app launch","product thinking","AI coding","zh",1,false,"2026-05-19T09:34:10.046948+00:00","2026-05-19T09:34:10.028+00:00","done","ac0def41-55ff-47fd-8920-9316a699159c","vibe-coding-turns-app-ideas-into-crowded-markets-zh","industry","a2a1140a-c4d1-487d-b064-6f7b73ede17f","published",[30,31,32],"vibe coding 降低建置成本，但不會降低分發與維運難度。","市場越擁擠，產品判斷、留存與定價越重要。","先定義驗證目標，再用 AI 做最小可測試版本。","caa87b65-9bbc-46fe-bba8-4f4158dd2d8b","[0.00968164,0.0072323857,-0.0031758517,-0.10264524,0.0095554665,-0.0043198946,-0.0013476681,0.0009237221,0.013915605,0.0012953641,-0.013659635,-0.0042716297,0.008617677,0.004893646,0.14493142,0.016411455,0.0040241894,-0.008476545,-0.005531133,0.026249286,0.027360575,0.03980408,0.006825694,-0.0067392774,-0.006299679,-0.015124038,0.029130358,0.021191254,0.030507036,-0.01947356,-0.00911655,0.004515575,-0.009685614,0.028747698,-0.011910894,0.018432222,0.030466845,-0.018785555,0.032785166,0.012785841,-0.0059933914,-0.010152672,-0.0058430084,0.002764252,0.01172157,0.020255538,-0.017991181,-0.029476414,-0.00017110788,0.024590926,0.0011854119,0.014391592,-0.012144348,-0.14383729,-0.012756979,0.023191053,-0.017469479,0.008105772,0.008136481,0.0177526,-0.013851119,-0.0028934125,-0.020082349,-0.020749714,-0.019186573,-0.023400081,0.020468103,-0.0076521095,0.0135789495,-0.018078614,-0.03636844,0.00040862776,0.004971362,-0.004517305,0.0088949315,-0.01731354,-0.0051427567,-0.007126057,-0.006356525,0.021713316,0.02159073,-0.03215713,0.00015592617,0.005217918,-0.0012228125,-0.008855192,-0.012568177,-0.04030715,-0.00214373,-0.0072796145,0.00065765233,0.035732597,0.011888943,-0.014785354,0.008467054,-0.019983783,-0.0040498087,-0.0017691472,0.0031909083,0.0013318412,0.0056506363,-0.012181451,-0.015062569,0.001745814,-0.005745031,0.015248853,-0.009718019,-0.020241193,0.0141231725,0.0018752678,-0.0043279547,-0.0029757898,0.023068087,-0.0013651092,-0.034301866,-0.13615702,-0.0046105166,0.006566257,0.014508595,-0.0067438893,-0.010656534,0.009911836,0.002207311,0.018135753,-0.005719087,-0.005516796,0.004942421,0.0226234,-0.004141826,-0.0024220801,-0.034828622,0.018942764,0.00032869432,0.018041994,0.004817799,-0.018219342,-0.0047926763,0.021871619,-0.019404007,-0.048799798,0.004258931,0.033081688,-0.01962859,0.009365669,-0.017722134,-0.023389278,-0.013962673,0.03156998,0.018952288,-0.01149519,-0.00085002865,-0.0057280776,0.014560333,-0.008809339,0.006847928,-0.042104986,0.009336504,0.01820647,0.020936083,5.8993894e-05,-0.038134262,-0.010486823,-0.004431456,0.01292839,0.008403344,0.004456676,-0.009070481,0.009468421,-0.005851105,0.012363521,0.01628067,-0.006659441,-0.012423448,-0.0060742805,0.008154215,-0.0055066636,-0.013486136,-0.011767586,0.008168576,-0.009310741,0.027337696,-0.01027489,0.022390915,0.014301743,-0.0052811583,-0.0094213355,0.0068996097,0.016153758,0.014283987,0.013632676,-0.006414843,0.026313614,0.04406991,0.016654799,0.022288073,-0.009932472,-0.0057405327,-0.00108783,0.0008316002,0.0187367,0.015585198,-0.014114511,0.0075443937,-0.018597104,0.011420629,-0.006735331,0.0042629843,-0.001320411,0.01107328,0.01132899,-0.02855169,0.006347146,0.03768367,0.005505232,0.013991158,-0.007155539,0.020378672,-0.026439125,0.022938738,-0.009794169,0.021406135,-0.01321943,0.009525744,0.01900203,0.0025503896,-0.029623307,-0.014463725,-0.022225093,-0.026036045,0.0010107934,0.012699036,0.007895364,0.028507924,0.010217903,-0.0269772,0.022643475,0.016805677,-0.0001690946,-0.006189998,0.025871873,-0.020187533,-0.007956296,0.016131178,-0.013207575,0.014586365,0.01074893,-0.026927939,0.014729277,0.001487835,0.006639064,-0.0035499262,-0.0035378416,0.0032749458,-0.012339449,0.0038001726,-0.039137673,-0.016019428,0.0071421447,3.3111908e-05,0.0072198305,0.0015261886,0.0034023474,-0.0120047955,-0.022394057,-0.005016628,-0.01090912,-0.0013142886,0.02461868,-0.013997392,-0.014579943,0.0055663954,0.032199536,-0.010883263,-0.01579702,0.0022926363,0.009523042,-0.079528406,0.031316735,-0.0070062624,-0.018303465,0.015648069,0.005691956,0.00549112,0.031104881,-0.018612344,-0.012012773,-0.009983901,0.00012120397,0.018931448,-0.01334528,-0.011718058,0.025887819,-0.018361945,-0.034856033,-0.0062618186,-0.024998339,-0.020422012,0.014966255,-0.011181653,0.023245757,-0.012404911,-0.0054442207,0.028733676,0.0113326665,-0.0172264,0.0117970565,0.014972035,0.02359353,-0.023971045,0.02137928,-0.029815124,-0.016857259,0.03332675,0.011342233,0.021945858,-0.023203136,0.01765304,-0.010825729,-0.0015233053,0.009181996,-0.019023225,-0.02402357,-0.01687421,-0.0056503406,-0.030909408,0.01597037,-0.013006102,-0.025143001,-0.01493605,-0.026743265,0.016646627,0.03549123,0.016455268,-0.0057044444,0.02665804,-0.013622143,-0.01766141,0.0111888405,-0.016949529,-0.0011273829,-0.0046793427,-0.01109352,-0.014927228,0.00026040332,-0.009820841,0.0038498605,-0.002295279,0.007896678,-0.0066860793,-0.028337268,-0.009532816,-0.012764211,0.0053165243,0.0009923478,-0.012913154,0.0034724225,-0.006480348,-0.0043494753,0.034030326,-0.005271351,0.043294907,-0.007007678,0.0031616308,0.0070393994,0.03346855,-0.003833964,0.0082306955,-0.008329437,0.019678874,0.0013507142,-0.022875486,0.009698023,-0.012343214,0.011334347,-0.0026594615,-0.025694432,-0.0052296207,0.010036869,-0.00886641,-0.0073371986,-0.01875354,0.0092669185,-0.032202847,-0.02411458,-0.012307232,0.010397216,0.034837775,0.009287857,0.00041150957,-0.013758259,0.020390207,-0.011886461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