YOURLS: Your Own URL Shortener

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Historical click count

Short URL created on June 18, 2026 @ 10:06 am (about 20 days ago)

Best day

137 hits on June 21, 2026. Click for more details

• Year 2026
  • June
    • 18: 3 hits
    • 19: 79 hits
    • 20: 47 hits
    • 21: 137 hits
    • 22: 7 hits
    • 23: 1 hit
    • 25: 2 hits
    • 26: 2 hits
    • 27: 2 hits
    • 28: 3 hits
    • 30: 1 hit
  • July
    • 01: 1 hit
    • 04: 3 hits
    • 05: 1 hit
    • 06: 3 hits
    • 07: 3 hits
    • 08: 1 hit
    • 09: 1 hit

Top 5 countries

Click for more details

• US (United States) : 254 hits
• EU (Europe) : 11 hits
• FR (France) : 7 hits
• GB (United Kingdom) : 4 hits
• DE (Germany) : 3 hits
• CA (Canada) : 1 hit
• SE (Sweden) : 1 hit
• SA (Saudi Arabia) : 1 hit
• BR (Brazil) : 1 hit
• CN (China) : 1 hit

Overall traffic

Referrer shares

Referrers

• vanderbi.lt: 96 (details)
• http://vanderbi.lt: 1
• http://vanderbi.lt/agwpc2018x126: 3
• http://vanderbi.lt/agwpc2018y871: 3
• http://vanderbi.lt/agwpc2020x254: 3
• http://vanderbi.lt/agwpc2020y540: 3
• https://vanderbi.lt/0n0wi%2B: 1
• https://vanderbi.lt/agtest00999%2B: 1
• https://vanderbi.lt/agwpc2018x126: 3
• https://vanderbi.lt/agwpc2018y871: 2
• https://vanderbi.lt/agwpc2020x254: 3
• https://vanderbi.lt/agwpc2020y540: 3
• https://vanderbi.lt/bridgezz%2B: 3
• https://vanderbi.lt/erieshop770099%2B?keyword=kqd65%26fresh=ERIECHAIN0: 1
• https://vanderbi.lt/erieshop770099%2B?keyword=kqd65%26fresh=ERIECHAIN1: 1
• https://vanderbi.lt/erieshop770099%2B?keyword=kqd65%26fresh=ERIECHAIN2: 1
• https://vanderbi.lt/erieshop770099%2B?keyword=kqd65%26fresh=ERIECHAIN3: 1
• https://vanderbi.lt/erieshop770099%2B?keyword=kqd65%26fresh=ERIECHAIN4: 1
• https://vanderbi.lt/erieshop770099%2B?shownewstat=9911: 1
• https://vanderbi.lt/iyg1y%2B: 1
• https://vanderbi.lt/iyg1y%2B?forcefreshmethod=1781795467.7939017_12: 1
• https://vanderbi.lt/massjson715%2B?travelnew=5577: 1
• https://vanderbi.lt/massjson715+?travelnew=5566: 1
• https://vanderbi.lt/mypoptestxyz%2B: 3
• https://vanderbi.lt/mypovdirect11782072512: 3
• https://vanderbi.lt/mypovdirect21782072524: 2
• https://vanderbi.lt/mypovhex11782072513: 2
• https://vanderbi.lt/rwandamodvals: 9
• https://vanderbi.lt/rwhealthresidence205%2B: 4
• https://vanderbi.lt/test%2B?refok=1: 1
• https://vanderbi.lt/testabcpoverty%2B: 5
• https://vanderbi.lt/testabcpoverty%2B?0: 1
• https://vanderbi.lt/testabcpoverty%2B?1: 1
• https://vanderbi.lt/testabcpoverty%2B?2: 2
• https://vanderbi.lt/testabcpoverty%2B?3: 1
• https://vanderbi.lt/testabcpoverty%2B?5: 2
• https://vanderbi.lt/testabcpoverty%2B?6: 1
• https://vanderbi.lt/testabcpoverty%2B?7: 1
• https://vanderbi.lt/testabcpoverty%2B?8: 1
• https://vanderbi.lt/testabcpoverty%2B?9: 1
• https://vanderbi.lt/tu41o%2B?via=v20: 1
• https://vanderbi.lt/tu41o%2B?via=v21: 1
• https://vanderbi.lt/wpcagcombined181: 3
• https://vanderbi.lt/wpcagcombined181%2B: 3
• https://vanderbi.lt/wpcagcombined181+: 3
• https://vanderbi.lt/wpcagproxy181: 3
• https://vanderbi.lt/wpcagproxy181%2B: 3
• api.dataafrica.io: 56 (details)
• https://api.dataafrica.io/api/join/?condition=underweight&geo=040AF00205&required=proportion_of_children%2Cdhs_geo_name&severity=moderate&show=year%2Ccondition%2Cresidence&sumlevel=all%2Call%2Call: 2
• https://api.dataafrica.io/api/join/?condition=underweight&geo=040AF00205&required=proportion_of_children%2Cdhs_geo_name&severity=moderate&show=year%2Ccondition%2Cresidence&sumlevel=all%2Call%2Call&yea: 4
• https://api.dataafrica.io/api/join/?condition=underweight&geo=040AF00205&required=proportion_of_children&severity=moderate&show=year%2Ccondition%2Cresidence&sumlevel=all%2Call%2Call: 8
• https://api.dataafrica.io/api/join/?condition=underweight&geo=040AF00205&required=proportion_of_children&severity=moderate&show=year%2Ccondition%2Cresidence&sumlevel=all%2Call%2Call&year=1992: 2
• https://api.dataafrica.io/api/join/?condition=underweight&geo=040AF00205&required=proportion_of_children&severity=moderate&show=year%2Ccondition%2Cresidence&sumlevel=all%2Call%2Call&year=2000: 2
• https://api.dataafrica.io/api/join/?condition=underweight&geo=040AF00205&required=proportion_of_children&severity=moderate&show=year%2Ccondition%2Cresidence&sumlevel=all%2Call%2Call&year=2005: 2
• https://api.dataafrica.io/api/join/?condition=underweight&geo=040AF00205&required=proportion_of_children&severity=moderate&show=year%2Ccondition%2Cresidence&sumlevel=all%2Call%2Call&year=2010: 2
• https://api.dataafrica.io/api/join/?geo=040AF00205%26show=year%2Ccondition%2Cresidence%26required=dhs_geo_name%2Cdhs_geo_parent_name%2Cproportion_of_children%26sumlevel=all%2Call%2Call%26condition=und: 6
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Ccondition%2Cresidence&required=dhs_geo_name%2Cdhs_geo_parent_name%2Cproportion_of_children&sumlevel=all%2Call%2Call: 1
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Ccondition%2Cresidence&required=proportion_of_children%2Cdhs_geo_name&sumlevel=all%2Call%2Call&condition=underweight&severity=moderate: 1
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Ccondition%2Cresidence&required=proportion_of_children%2Cdhs_geo_name&sumlevel=all%2Call%2Call&condition=underweight&severity=moderate&UNI: 3
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Ccondition%2Cresidence&required=proportion_of_children&sumlevel=all%2Call%2Call&condition=underweight&severity=moderate: 12
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Cresidence&required=proportion_of_children&condition=underweight&severity=moderate: 1
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Cresidence&required=proportion_of_children&condition=underweight&severity=moderate&residence=rural: 1
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Cresidence&required=proportion_of_children&condition=underweight&severity=moderate&residence=urban: 1
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Cresidence&required=proportion_of_children&condition=underweight&severity=moderate&year=1992: 1
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Cresidence&required=proportion_of_children&condition=underweight&severity=moderate&year=2000: 1
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Cresidence&required=proportion_of_children&condition=underweight&severity=moderate&year=2005: 1
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year%2Cresidence&required=proportion_of_children&condition=underweight&severity=moderate&year=2010: 1
• https://api.dataafrica.io/api/join/?geo=040AF00205&show=year,condition,residence&required=dhs_geo_name,dhs_geo_parent_name,proportion_of_children&sumlevel=all,all,all: 3
• https://api.dataafrica.io/api/join/csv/?geo=040AF00205&show=year%2Ccondition%2Cresidence&required=proportion_of_children%2Cdhs_geo_name&sumlevel=all%2Call%2Call&condition=underweight&severity=moderate: 1
• api.worldpoverty.io: 40 (details)
• https://api.worldpoverty.io/graphql?query=%7B%20worldPovertyRegion%28year%3A2018%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22AFG%22%2C%22GHA%22%2C%22MEX%22%5D%29%20%7B%20countryValues%20%7B%20country%: 3
• https://api.worldpoverty.io/graphql?query=%7B%20worldPovertyRegion%28year%3A2018%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22NGA%22%2C%22IND%22%5D%29%20%7B%20countryValues%20%7B%20country%20%7B%20name: 3
• https://api.worldpoverty.io/graphql?query=%7B%20worldPovertyRegion%28year%3A2020%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22AFG%22%2C%22GHA%22%2C%22MEX%22%5D%29%20%7B%20countryValues%20%7B%20country%: 3
• https://api.worldpoverty.io/graphql?query=%7B%20worldPovertyRegion%28year%3A2020%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22NGA%22%2C%22IND%22%5D%29%20%7B%20countryValues%20%7B%20country%20%7B%20name: 3
• https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2018%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22AFG%22%2C%22GHA%22%2C%22NGA%22%2C%22IND%22%2C%22MEX%22%5D%29%7BcountryValues%7: 1
• https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2018%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22AFG%22%2C%22GHA%22%5D%29%7BcountryValues%7Bcountry%7Bname%7Dvalue%7BruralValue: 2
• https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2018%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22MEX%22%5D%29%7BcountryValues%7Bcountry%7Bname%7Dvalue%7BruralValue%7Bheadcount: 2
• https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2018%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22NGA%22%2C%22IND%22%5D%29%7BcountryValues%7Bcountry%7Bname%7Dvalue%7BruralValue: 2
• https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2018%2CdailySpending%3A2.15%2CcountryIds%3A%5B%5D%29%7BcountryValues%7Bcountry%7Bname%2Cid%7D%2Cvalue%7BruralValue%7Bheadcount%: 5
• https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2020%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22AFG%22%2C%22GHA%22%2C%22NGA%22%2C%22IND%22%2C%22MEX%22%5D%29%7BcountryValues%7: 1
• https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2020%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22AFG%22%2C%22GHA%22%5D%29%7BcountryValues%7Bcountry%7Bname%7Dvalue%7BruralValue: 2
• https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2020%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22MEX%22%5D%29%7BcountryValues%7Bcountry%7Bname%7Dvalue%7BruralValue%7Bheadcount: 2
• https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2020%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22NGA%22%2C%22IND%22%5D%29%7BcountryValues%7Bcountry%7Bname%7Dvalue%7BruralValue: 2
• https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2020%2CdailySpending%3A2.15%2CcountryIds%3A%5B%5D%29%7BcountryValues%7Bcountry%7Bname%2Cid%7D%2Cvalue%7BruralValue%7Bheadcount%: 3
• https://api.worldpoverty.io/graphql?query=%7B__typename%7D: 6
• allorigins.hexlet.app: 26 (details)
• https://allorigins.hexlet.app/get?url=https%3A%2F%2Fmartingauer.com%2Femulator%2F: 3
• https://allorigins.hexlet.app/get?url=https%3A%2F%2Fmartingauer.com%2Femulator%2Fmartingauer.gb: 3
• https://allorigins.hexlet.app/raw?url=https%3A%2F%2Fapi.worldpoverty.io%2Fgraphql%3Fcache_version%3D2e1fed556d97c6338aee0463782fa057bfd4f3ee%26query%3Dquery%2Btest4%2528%2524ids%253A%255BString%2521%2: 1
• https://allorigins.hexlet.app/raw?url=https%3A%2F%2Fapi.worldpoverty.io%2Fgraphql%3Fquery%3D%257BworldPovertyRegion%2528year%253A2018%252CdailySpending%253A2.15%252CcountryIds%253A%255B%2522AFG%2522%2: 1
• https://allorigins.hexlet.app/raw?url=https%3A%2F%2Fapi.worldpoverty.io%2Fgraphql%3Fquery%3D%257BworldPovertyRegion%2528year%253A2020%252CdailySpending%253A2.15%252CcountryIds%253A%255B%2522AFG%2522%2: 1
• https://allorigins.hexlet.app/raw?url=https%3A%2F%2Fapi.worldpoverty.io%2Fgraphql%3Fquery%3D%257B__typename%257D: 1
• https://allorigins.hexlet.app/raw?url=https%3A%2F%2Fapi.worldpoverty.io%2Fgraphql%3Fquery%3Dquery%2Bz%2528%2524d%253AFloat%2521%252C%2524a%253AInt%2521%252C%2524b%253AInt%2521%252C%2524c%253A%255BStri: 6
• https://allorigins.hexlet.app/raw?url=https%3A%2F%2Fliquipedia.net%2Ffighters%2FTekken_World_Tour_Finals%2F2024%2FStatistics: 4
• https://allorigins.hexlet.app/raw?url=https%3A%2F%2Fmartingauer.com%2Femulator%2F: 3
• https://allorigins.hexlet.app/raw?url=https%3A%2F%2Fmartingauer.com%2Femulator%2Fmartingauer.gb: 3
• api.usa.gov: 9 (details)
• https://api.usa.gov/crime/fbi/cde/hate-crime/national/51?from=09-2022&to=09-2022&type=counts&API_KEY=DEMO_KEY: 1
• https://api.usa.gov/crime/fbi/cde/hate-crime/state/AL/51?from=09-2022&to=09-2022&type=counts&API_KEY=DEMO_KEY: 1
• https://api.usa.gov/crime/fbi/cde/hate-crime/state/AZ/51?from=09-2022&to=09-2022&type=counts&API_KEY=DEMO_KEY: 1
• https://api.usa.gov/crime/fbi/cde/hate-crime/state/CA/51?from=09-2022&to=09-2022&type=counts&API_KEY=DEMO_KEY: 1
• https://api.usa.gov/crime/fbi/cde/hate-crime/state/DE?API_KEY=DEMO_KEY&from=07-2017&to=07-2017: 1
• https://api.usa.gov/crime/fbi/cde/hate-crime/state/HI/51?from=09-2022&to=09-2022&type=counts&API_KEY=DEMO_KEY: 1
• https://api.usa.gov/crime/fbi/cde/hate-crime/state/NY/51?from=09-2022&to=09-2022&type=counts&API_KEY=DEMO_KEY: 1
• https://api.usa.gov/crime/fbi/cde/hate-crime/state/OH/51?from=09-2022&to=09-2022&type=counts&API_KEY=DEMO_KEY: 1
• https://api.usa.gov/crime/fbi/cde/lookup/offenses?type=hate-crime&API_KEY=DEMO_KEY: 1
• jqp.vercel.app: 8 (details)
• https://jqp.vercel.app/api/v0?url=https%3A//assets.dataforindia.com/charts/d88e6864f43c426dbcd1ee675a8944a7/config.json&jq=.: 4
• https://jqp.vercel.app/api/v0?url=https%3A//assets.dataforindia.com/charts/d88e6864f43c426dbcd1ee675a8944a7/data.json&jq=.: 4
• martingauer.com: 6 (details)
• https://martingauer.com/emulator/: 3
• https://martingauer.com/emulator/martingauer.gb: 3
• corsmirror.com: 6 (details)
• https://corsmirror.com/v1?url=https%3A%2F%2Fapi.worldpoverty.io%2Fgraphql%3Fquery%3Dquery%2520x%2520%257BworldPovertyRegion%2528year%253A2018%252CdailySpending%253A2.15%252CcountryIds%253A%255B%2522AF: 3
• https://corsmirror.com/v1?url=https%3A%2F%2Fapi.worldpoverty.io%2Fgraphql%3Fquery%3Dquery%2520x%2520%257BworldPovertyRegion%2528year%253A2020%252CdailySpending%253A2.15%252CcountryIds%253A%255B%2522AF: 3
• platform.lemino.ai: 5 (details)
• https://platform.lemino.ai/api/url2md/https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2018%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22AFG%22%2C%22GHA%22%2C%22NGA%22%2C%22IND%: 2
• https://platform.lemino.ai/api/url2md/https://api.worldpoverty.io/graphql?query=%7BworldPovertyRegion%28year%3A2020%2CdailySpending%3A2.15%2CcountryIds%3A%5B%22AFG%22%2C%22GHA%22%2C%22NGA%22%2C%22IND%: 3
• cde.ucr.cjis.gov: 4 (details)
• https://cde.ucr.cjis.gov/LATEST/hate-crime/state/AZ/51?from=09-2022%26to=09-2022%26type=counts: 1
• https://cde.ucr.cjis.gov/LATEST/hate-crime/state/CA/51?from=09-2022%26to=09-2022%26type=counts: 1
• https://cde.ucr.cjis.gov/LATEST/hate-crime/state/HI/51?from=09-2022%26to=09-2022%26type=counts: 1
• https://cde.ucr.cjis.gov/LATEST/hate-crime/state/OH/51?from=09-2022%26to=09-2022%26type=counts: 1
• md.succ.ai: 3 (details)
• https://md.succ.ai/?url=https%3A%2F%2Functadstat.unctad.org%2FNowcasts%2Fx_merch_val%2Fx_merch_val-2021-1.csv: 2
• https://md.succ.ai/https://www.thetravel.com/top-dallas-restaurants/: 1
• Various: 6 (details)
• https://test.com/: 1
• https://pure.md/www.thetravel.com/top-dallas-restaurants/: 1
• https://r.jina.ai/http://www.thetravel.com/top-dallas-restaurants/: 1
• https://example.org/wpctest: 1
• https://api.datausa.io/myrefabc998: 1
• https://markdown.new/www.thetravel.com/top-dallas-restaurants/: 1

Direct vs Referrer Traffic

Direct traffic: 29 hits

Referrer traffic: 268 hits